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Zhijiang Guo (HKUST (GZ) | HKUST).
Friday 17 April 2026, 12:00-13:00
Simon Baker's List
A personal list of talks.
Contact: Simon Baker
12 upcoming talks View 1499 archived talks
NLIP Seminar Series
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models
Machine Learning Reading Group @ CUED
From Stochastic Interpolants to Flow Maps: Foundations, Fast Generation, and Applications to Weather & Climate Modeling
NLIP Seminar Series
AI Metrics: Theoretical Foundations, Design, and Selection of Evaluation Metrics Based on Ground Truth
Language Technology Lab Seminars
Beyond Surface Matching: Reasoning, Grounding, and Retrieval in Vision-Language Models
Machine Learning Reading Group @ CUED
Evolution Strategies at the Hyperscale
Machine Learning Reading Group @ CUED
Evolution Strategies at the Hyperscale
Language Technology Lab Seminars
Formal symbolic models for LLMs: pretraining, evaluation and post-training
Machine Learning Reading Group @ CUED
Machine Learning on Tabular Data
Machine Learning Reading Group @ CUED
Rethinking aleatoric and epistemic uncertainty
NLIP Seminar Series
Generalised measures of predictive uncertainty in online language processing
NLIP Seminar Series
What Happens When They're Smarter Than Us?
Language Technology Lab Seminars
Actionable Interpretability for AI Safety
NLIP Seminar Series
Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
NLIP Seminar Series
The emerging causal paradigm in interpretability
Language Technology Lab Seminars
You Know It or You Donβt: Categorical Differences in Language Model Behavior
NLIP Seminar Series
Memorization as a Feature, Not a Bug
NLIP Seminar Series
Competence, Pain and the Geometry of Intelligence: Three Perspectives on Learning and Representation
Language Technology Lab Seminars
Talk by Uri Berger: Multimodality and Human Alignment in Vision-Language Models (University of Melbourne & Hebrew University of Jerusalem)
Language Technology Lab Seminars
Cultural Biases in LLMs: From Behavioural analysis to Internal Representations
Machine Learning Reading Group @ CUED
How does gradient descent work?
NLIP Seminar Series
Building and Understanding Human-scale Language Models
Language Technology Lab Seminars
Why don't models generalize?
NLIP Seminar Series
A computational model of language production
Language Technology Lab Seminars
Mapping the (Jagged) Landscape of LLM Capabilities
Machine Learning Reading Group @ CUED
Variational Inference: An Algorithm-Centric Perspective
NLIP Seminar Series
With great power... My journey in Responsible AI
Language Technology Lab Seminars
Model Merging β A Tale of Two Settings
Language Technology Lab Seminars
Just asking questions (MIT)
Machine Learning Reading Group @ CUED
Neural Operators for Scientific Simulation
NLIP Seminar Series
Extrapolating model performance across training horizons
Language Technology Lab Seminars
Retrieving and Sampling Diverse Outputs
Language Technology Lab Seminars
Interpretability as the Inverse Machine Learning Pipeline
Machine Learning Reading Group @ CUED
A Tutorial on Algorithmic Information Theory in Modern ML
Machine Learning Reading Group @ CUED
Diffusion Language Models
Language Technology Lab Seminars
Emergence of Linear Representations in LMs (NYU)
NLIP Seminar Series
Evaluation with LLMs - Theoretical and Practical insights
Language Technology Lab Seminars
Reading Between the Lines: Using Language Models to Amplify Human Data in Robot Learning (MIT)
Machine Learning Reading Group @ CUED
An Introduction to Stochastic Interpolants
NLIP Seminar Series
Making and breaking tokenizers
Language Technology Lab Seminars
Implicit Chain-of-Thought: Internalizing Reasoning in Language Models
NLIP Seminar Series
NLIP 2025 Social: Meet New PhD Students
Language Technology Lab Seminars
Explanations as a Catalyst: Leveraging Large Language Models to Embrace Human Label Variation
Language Technology Lab Seminars
Protocols over Implementations
Cambridge Statistics Clinic
Statistics Clinic Summer 2025 II
NLIP Seminar Series
LLMs, Implicit Bayesian inference and compositional Generalization
Language Technology Lab Seminars
Value Reasoning and Test-Time Verification for Trustworthy LLMs
Machine Learning Reading Group @ CUED
The structure of curvature in neural networks
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
MultiBLiMP: A Multilingual Benchmark of Linguistic Minimal Pairs
Language Technology Lab Seminars
Model Interpretability: from Illusions to Opportunities
Machine Learning Reading Group @ CUED
Variational Uncertainty Decomposition for In-Context Learning
Machine Learning Reading Group @ CUED
Variational Uncertainty Decomposition for In-Context Learning
Machine Learning Reading Group @ CUED
Vision-language models (VLMs)
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Vision-language models (VLMs)
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
When is Multilinguality a Curse? Language Modeling for 350 Languages
Language Technology Lab Seminars
Interactive and Grounded Learning
NLIP Seminar Series
Unveiling the Secret Sauce: A Causal Look at Data Memorisation and Tokenisation in Language Models
Language Technology Lab Seminars
On Interacting and Writing with LLMs
Machine Learning Reading Group @ CUED
Conditional Expectation and Machine Learning
NLIP Seminar Series
Robust Alignment of Large Language Models
Language Technology Lab Seminars
AI Interacting with People (through Language)
Machine Learning Reading Group @ CUED
Evaluating and Regulating Foundation Models
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Measuring Political Bias in Large Language Models
Language Technology Lab Seminars
Balanced and Efficient tokenization across languages
NLIP Seminar Series
Research Progress in Mechanistic Interpretability
Language Technology Lab Seminars
Human-Centered AI: Addressing the Ecological Fallacy in LLMs
NLIP Seminar Series
Asymmetry in Supposedly Equivalent Facts: Pre-training Bias in Large Language Models
Machine Learning Reading Group @ CUED
Out-of-context reasoning/learning in LLMs and its safety implications
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Learning to See the World in 3D
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Language Technology Lab Seminars
New Advances in Multimodal Reasoning
Machine Learning Reading Group @ CUED
An Introduction to In-Context Learning
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Formal syntactic theory in the current NLP landscape
Language Technology Lab Seminars
Discourse models with language models
NLIP Seminar Series
Natural Language meets Control Theory
Machine Learning Reading Group @ CUED
ML for Medium-Range Weather Forecasting
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Typological Diversity in NLP: What, Why and a Way Forward
Language Technology Lab Seminars
Grammar, reasoning, learning: Three short stories on comparative & rational analysis of language model capabilities
Machine Learning Reading Group @ CUED
Influence Functions
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Sampling with diffusion models
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Assessing language-specific capabilities of LLMs: Lessons from Swedish NLP
Language Technology Lab Seminars
Whatβs not an Autoregressive LLM?
Machine Learning Reading Group @ CUED
Geometric Deep Learning for Structure-Based Drug Design
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Metrized Deep Learning: Fast & Scalable Training
Language Technology Lab Seminars
Languages, Values, & Attitudes: On Reflections of Culture in LLMs
Machine Learning Reading Group @ CUED
Diffusion Models Beyond Mean Prediction
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
LLMs as supersloppers and other metaphors
Language Technology Lab Seminars
Behavioral machine learning
Machine Learning Reading Group @ CUED
Unpacking UKβs New AI Action Plan: Ambition versus Reality
β οΈ Teams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Preference Alignment, with Reference Mismatch, and without Reference Models
Language Technology Lab Seminars
Between the Lines: Contextual Understanding and Bias in LLMs
Machine Learning Reading Group @ CUED
An Introduction to Algorithmic Differentiation
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
An Introduction to Algorithmic Differentiation
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Analysing Memorisation in ClassificationΒ and TranslationΒ through LocalisationΒ and Cartography
Language Technology Lab Seminars
Linear Transformers for Efficient Sequence Modeling
Machine Learning Reading Group @ CUED
Foundation Models in Robotics
Language Technology Lab Seminars
Mechanistic Understanding of Language Models in Arithmetic Reasoning and Code Generation
Machine Learning Reading Group @ CUED
Learning curve prediction for AutoML
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Learning curve prediction for AutoML
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
The Past, Present and Future of Tokenization
Language Technology Lab Seminars
Data Repurposing: Improving LLM Capabilities with Synthetic Data Generation
Language Technology Lab Seminars
LLMs and Low-Resource Languages
Machine Learning Reading Group @ CUED
An Elementary Introduction to Sequential Monte Carlo Samplers
NLIP Seminar Series
Scansion-based Lyric Generation
Language Technology Lab Seminars
Towards Knowledgeable Foundation Models
Machine Learning Reading Group @ CUED
Scalable Sampling Using Annealed Algorithms
NLIP Seminar Series
Linguistics in the Age of Large Language Models.
Machine Learning Reading Group @ CUED
Are we making progress in unlearning?Β
NLIP Seminar Series
10 Slides on Human Feedback
Language Technology Lab Seminars
Subtleties about Pre-Training Data: Imbalance and Staleness
Machine Learning Reading Group @ CUED
Natural Experiments in NLP and Where to Find Them
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Adaptive Tokenization and Memory in Foundation Models
Language Technology Lab Seminars
Pluralistic Alignment through Personalized Reinforcement Learning from Human Feedback
Machine Learning Reading Group @ CUED
Linear Attention for Efficient Transformers
NLIP Seminar Series
Language Modelling with Phonemes
Language Technology Lab Seminars
LLM Generalization in Social Context
NLIP Seminar Series
Truth conditions at scale, and beyond
Language Technology Lab Seminars
Specializing LLMs for Factuality and Soft Reasoning
NLIP Seminar Series
NLIP 2024 Social: Meet New PhD Students
Language Technology Lab Seminars
Ten Years of Universal Dependencies
Machine Learning Reading Group @ CUED
Task Alignment
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
The tradeoff governing efficient language model architectures
Language Technology Lab Seminars
Can Sparsity Lead to Efficient LLMs?
Machine Learning @ CUED
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Machine Learning @ CUED
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Machine Learning @ CUED
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
NLIP Seminar Series
Evaluating Large Language Models as Model Systems for Language
Language Technology Lab Seminars
Generative AI for Science
NLIP Seminar Series
Title to be confirmed
Language Technology Lab Seminars
Practical and Specialised NLP Solutions: The Case of Social Media
Machine Learning Reading Group @ CUED
A Light Introduction to Topological Data Analysis
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Open-Endedness and General Intelligence
Language Technology Lab Seminars
Incremental Accumulation of Linguistic Context in Artificial and Biological Neural Networks
NLIP Seminar Series
The intersection of Interpretability and Fairness
Language Technology Lab Seminars
Data Selection for Pre-training and Instruction-tuning of LLMs
NLIP Seminar Series
Automated Fact-Checking of Climate Change Claims with Large Language Models
Language Technology Lab Seminars
"What it can create, it may not understand" Studying the Limits of Transformers.
Language Technology Lab Seminars
Language modelling for the sake of language modelling
Machine Learning Reading Group @ CUED
Mean Field Theory of NNs
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk
NLIP Seminar Series
Title to be confirmed
Language Technology Lab Seminars
Large language models for enabling constructive online conversations
Machine Learning Reading Group @ CUED
Discussing the Stanford AI Report
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Discussing the Stanford AI Report
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
AI Control
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
Neural likelihood-free inference
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Misinformation: Will it get better or worse and what can we do about it?
Language Technology Lab Seminars
Inverting Language Models
Machine Learning Reading Group @ CUED
An Introduction to the Conjugate Gradient Method
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Understanding Comparative Questions and Retrieving Argumentative Answers
Language Technology Lab Seminars
Large Language Models in Medicine: Opportunities and Challenges
NLIP Seminar Series
LLMs: Everythingβs Different and Nothing Has Changed
Language Technology Lab Seminars
What do sentence transformers know, and how can we find out?
Machine Learning Reading Group @ CUED
An Introduction to Transformer Neural Processes
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning @ CUED
Consistent Validation for Predictive Methods in Spatial Settings
NLIP Seminar Series
Integrating Combinatorial Solvers and Neural Models
Language Technology Lab Seminars
Making Better Use of (Large) Language and Translation Models with Simple Inference Improvements.
Machine Learning Reading Group @ CUED
Learning Symmetries in Neural Networks
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Scaling Multilingual Generation for Low-Resource Languages
Language Technology Lab Seminars
Prosocial Language Models
Machine Learning Reading Group @ CUED
GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecasterβs Christmas)
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Employing Psycholinguistics to Understand Decoding in Probabilistic Language Generators
Language Technology Lab Seminars
Understanding LLMs via their Generative Successes and Shortcomings.
Machine Learning Reading Group @ CUED
Bayesian coresets
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
This talk is cancelled - Modeling Cognitive Complexity in NLP
Language Technology Lab Seminars
Geographically Grounded Language Models
NLIP Seminar Series
Revisiting the Optimality of Word Lengths
Language Technology Lab Seminars
Replicating and auditing black-box Language Models.
NLIP Seminar Series
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Language Technology Lab Seminars
Can Language Models Learn Truthfulness?
Language Technology Lab Seminars
Can Language Models Learn Truthfulness?
NLIP Seminar Series
Fairness Evaluation in Generative NLP
Language Technology Lab Seminars
Assessing the Social Capacity of Large Language Models
Machine Learning Reading Group @ CUED
Flow matching, stochastic interpolants and everything in between
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning @ CUED
Modern Bayesian Experimental Design
NLIP Seminar Series
Efficiency by Construction
Language Technology Lab Seminars
A sanity check on emergent properties
Machine Learning Reading Group @ CUED
Challenges of Regulating Increasingly Complicated Human-AI Collaborative Systems
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Language Technology Lab Seminars
Language Understanding for the Political Sciences
Machine Learning Reading Group @ CUED
A Poisson Process Model for Monte Carlo
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Numerical Reasoning in Natural Language Processing
Language Technology Lab Seminars
One Size Does Not Fit All: Towards AI For Everyone
Machine Learning Reading Group @ CUED
Learning Directed Acyclic Graphs (DAGs) With Continuous Optimization
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Avoiding AI's "Moore's Law": Why we are building a ladder to the moon
Language Technology Lab Seminars
Unhumanizing Models. Why we Need to Change how We Think about AI
Machine Learning Reading Group @ CUED
Deep Learning for Medium-Range Global Weather Prediction
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Natural Language Processing for Text-to-Speech Synthesis
Language Technology Lab Seminars
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Machine Learning Reading Group @ CUED
Learning linear models in-context with transformers
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Collaborative Pretraining on Evolving Pretraining and Small Manageable Tasks
pf376's list
Learning disentangled representation for interpretable language model. / Interactive Narrative Understanding.
Machine Learning Reading Group @ CUED
Quasi-Monte Carlo: structure in the randomness for better sampling
NLIP Seminar Series
Fighting Bad Information with AI
NLIP Seminar Series
Does Syntax Still Matter in the World of LLMs?
Machine Learning @ CUED
Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"
Machine Learning @ CUED
Compositional mathematics and automatic gradient descent
Machine Learning Reading Group @ CUED
Deciphering Batch Effects in Single-cell Transcriptomics with Concept Bottlenecks
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
SchrΓΆdinger bridges, diffusion and SDEs
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Knowledge Issues and Language Models
Machine Learning Reading Group @ CUED
The LLM Tidal Wave
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED
The LLM Tidal Wave
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Investigating Reasons for Disagreement in Natural Language Inference
Language Technology Lab Seminars
Mind the Data
Machine Learning Reading Group @ CUED
Game theory, distributional reinforcement learning, control and verification
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Fighting Misinformation in Science Communication with NLP
Language Technology Lab Seminars
Towards Human-Centered Explanations of AI Predictions
Machine Learning Reading Group @ CUED
On choosing the mass matrix for Hamiltonian Monte Carlo
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Interpretable Multi-hop Question Answering
Language Technology Lab Seminars
Pretraining, Instruction Tuning, Alignment: Towards Building Large Language Models from First Principles
Machine Learning Reading Group @ CUED
Reward Modelling
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Challenges of Low-Resource Natural Language Processing: A Focus on Sentiment Analysis and Hate Speech Detection in Amharic
Language Technology Lab Seminars
Probing Language Models for Paraphrastic Representations of Negation and Antonymy
NLIP Seminar Series
Reality Check: NLP in the era of Large Language Models
Machine Learning @ CUED
Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry
Machine Learning Reading Group @ CUED
Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the Field
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Language Technology Lab Seminars
Writing for the Public: Immigration Discourse and Language Ideology
Machine Learning Reading Group @ CUED
Learning-based multiscale modeling: computing, data science, and uncertainty quantification
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
NLIP Seminar Series
Improving Model Robustness for Natural Language Inference
Machine Learning Reading Group @ CUED
Neural Tangent Kernel
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Machine Learning Reading Group @ CUED
No-regret Dynamics for Multi-agent Learning
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Machine Learning Reading Group @ CUED
Scalable Approaches to Self-Supervised Learning using Spectral Analysis
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Machine Learning Reading Group @ CUED
Physics-informed machine learning
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Machine Learning Reading Group @ CUED
Causal Machine Learning
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Language Technology Lab Seminars
Real-world task assistance with GRILLBot, the winning Amazon Alexa Prize TaskBot.
Machine Learning Reading Group @ CUED
User Manipulation in Recommender Systems
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NLIP Seminar Series
Navigating the AI Hype: Building Natural Language Processing for Low Resource Languages
Language Technology Lab Seminars
Towards a Responsible NLP: Walking the walk
Machine Learning Reading Group @ CUED
Random Features for Kernel Approximation
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
NLIP Seminar Series
An Affordance Account of Value Embedding in Technology: Why Good Intentions are Not Enough
Language Technology Lab Seminars
Efficient Transformers with Dynamic Token Pooling
Machine Learning Reading Group @ CUED
An Overview of Differential Privacy, Membership Inference Attacks, and Federated Learning
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NLIP Seminar Series
Modular and Compositional Transfer Learning
Language Technology Lab Seminars
One-shot visual language understanding with cross-modal translation and LLMs
Machine Learning Reading Group @ CUED
Bayesian Neural Networks
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
NLIP Seminar Series
Narrative Summarization from Multiple Views
Machine Learning Reading Group @ CUED
Offline Reinforcement Learning
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Language Technology Lab Seminars
Challenges and Opportunities in NLP for Under-represented Languages
Machine Learning Reading Group @ CUED
{PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
NLIP Seminar Series
Processing Multiword Expressions for Grammatical Error Correction
Language Technology Lab Seminars
Narrative Summarization From Multiple Views
Machine Learning @ CUED
Calls to F the Algorithm: Lessons from the 2020 Exam Debacle
NLIP Seminar Series
GenBench -- State-of-the-art generalisation research in NLP
Language Technology Lab Seminars
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems
NLIP Seminar Series
Exploring andΒ Controlling Social Values in Large Language Models through Role-PlayingΒ
Machine Learning Reading Group @ CUED
Scalable simulation and inference in non-Gaussian stochastic PDEs
Machine Learning @ CUED
Scalable simulation and inference in non-Gaussian stochastic PDEs
NLIP Seminar Series
Rethinking the role of tokenization in the NLP pipeline
Language Technology Lab Seminars
Revisiting Cross-Lingual Transfer Learning
NLIP Seminar Series
CANCELLED
Machine Learning @ CUED
Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances
Machine Learning Reading Group @ CUED
Information Geometry β Natural Gradient Descent
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning @ CUED
Gaussian processes, spectral analysis kernels and optimal transport
NLIP Seminar Series
Towards Trustworthy Natural Language Processing
Machine Learning @ CUED
Deep Reinforcement Learning for Multi-Agent Interaction
Language Technology Lab Seminars
End-to-End Fine-grained Multi-modal Understanding
Machine Learning Reading Group @ CUED
Predicting generalization of ML models.
β οΈ Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning @ CUED
Presenting Hawk-Eyeβs Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement
NLIP Seminar Series
Decoding is deciding under uncertainty β the case of NMT
Language Technology Lab Seminars
Program Synthesis and Understanding with Pretrained Language Models
Machine Learning Reading Group @ CUED
A tutorial on diffusion models
NLIP Seminar Series
NLP for Science: Advances and Challenges
Language Technology Lab Seminars
Flamingo: a Visual Language Model for Few-Shot Learning
NLIP Seminar Series
Efficient Structured Prediction on Long Texts
Machine Learning Reading Group @ CUED
Benchmarking and evaluation in contemporary machine learning
NLIP Seminar Series
A study of recent techniques to estimate the difficulty of exam questions from text
Language Technology Lab Seminars
Contextualized embeddings for lexical semantics
Language Technology Lab Seminars
Quantifying Linguistic Variation
Machine Learning Reading Group @ CUED
Advanced artificial agents intervene in the provision of reward
NLIP Seminar Series
The Aston Forensic Linguistic Databank (FoLD)
Language Technology Lab Seminars
Detect β Verify β Communicate: Combating Misinformation with More Realistic NLP
Machine Learning Reading Group @ CUED
Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
NLIP Seminar Series
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
Machine Learning Reading Group @ CUED
The unreasonable effectiveness of mathematics in large scale deep learning
Machine Learning Reading Group @ CUED
The role of meta-learning for few-shot classification
Machine Learning @ CUED
Noise-Aware Differentially Private Synthetic Data
Machine Learning Reading Group @ CUED
Benefits and Shortcomings of Assistance
NLIP Seminar Series
Pitfalls with ablation in neural network architectures
Language Technology Lab Seminars
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
Machine Learning @ CUED
Estimating RSV seasonality from pandemic disruptions: a modelling study
Machine Learning Reading Group @ CUED
Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
NLIP Seminar Series
(Modeling) Morality? On Machine Learning and Phrenology
NLIP Seminar Series
An aperitivo of efforts against harming online contents: propaganda, hate speech, spam
Language Technology Lab Seminars
Cross-lingual Learning, and Applications in Dialog and Translation
Machine Learning Reading Group @ CUED
Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks
Language Technology Lab Seminars
A Contrastive Framework for Neural Text Generation
NLIP Seminar Series
Measuring Causal Effects of Data Statistics on Language Model Predictions
Machine Learning Reading Group @ CUED
Rethinking evaluation for machine learning models
Machine Learning Reading Group @ CUED
Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization
NLIP Seminar Series
Language (In)Equality in Parsing and Machine Translation: Data Size is Only One Term in the Equation
Language Technology Lab Seminars
Can we automatically anonymize text documents?
NLIP Seminar Series
Neuro-Symbolic Deep Natural Language Understanding
Machine Learning @ CUED
Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks
Machine Learning Reading Group @ CUED
How close are these distributions? A brief introduction to statistical distances and divergences.
NLIP Seminar Series
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Language Technology Lab Seminars
The acquisition and processing of grammatical structure: insights from deep learning
Machine Learning Reading Group @ CUED
Bests of ICLR
NLIP Seminar Series
Interactive and decomposed approaches for NLP: the case of multi-text summarization
Machine Learning @ CUED
Graph neural network approach for decentralized multi-robot coordination
Machine Learning Reading Group @ CUED
Machine Learning with Quantum Computers
Machine Learning Reading Group @ CUED
Autoregressive Diffusion Models
Machine Learning Reading Group @ CUED
An Overview of AI Alignment
NLIP Seminar Series
Multilingual Autoregressive Entity Linking
Language Technology Lab Seminars
Zero-Shot Cross-lingual Transfer for XNLU
Machine Learning Reading Group @ CUED
The Bayesian Learning Rule for Adaptive AI
NLIP Seminar Series
Hugging Face: a hub for the whole ML community to collaborate
Language Technology Lab Seminars
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
Machine Learning Reading Group @ CUED
Introduction to differential privacy
NLIP Seminar Series
Using NLP and graph theory to capture speech abnormalities in psychosis
Language Technology Lab Seminars
Spoken Language Understanding, with and without Pre-training
NLIP Seminar Series
Learning from Past: Bringing Planning Back to Neural Generators
Language Technology Lab Seminars
Hierarchical Interpretation of Neural Text Classification
Machine Learning Reading Group @ CUED
Retrieval Augmented NLP
NLIP Seminar Series
[POSTPONED] Parametric vs Nonparametric Knowledge, and what we can learn from Knowledge Bases
Language Technology Lab Seminars
Systematic Inequalities in Language Technology Performance across the World's Languages
Machine Learning Reading Group @ CUED
Circuits and Interpretability
Language Technology Lab Seminars
Learning the Difference that Makes a Difference with Counterfactually Augmented Data
Machine Learning Reading Group @ CUED
Optimal Transport Metrics
NLIP Seminar Series
When do languages use the same word for different meanings? The Goldilocks Principle that shapes the lexicon
Language Technology Lab Seminars
Unsupervised Domain Adaptation for Neural Search
Machine Learning Reading Group @ CUED
Learned Compression
NLIP Seminar Series
Towards Out-of-distribution generalization in NLP
NLIP Seminar Series
Expectations vs. Reality: Lessons learned from Working on Toxic Content Detection in NLP
Machine Learning Reading Group @ CUED
Diffusion and Score-based Generative Models
Machine Learning Reading Group @ CUED
AI Safety
Machine Learning Reading Group @ CUED
[Cancelled] Best of Neurips
NLIP Seminar Series
CANCELLED
Language Technology Lab Seminars
Zero-shot learning and out-of-distribution generalization: two sides of the same coin
Machine Learning Reading Group @ CUED
Energy-Based Models
NLIP Seminar Series
Sparse Latent Structure with Overlapping Constraints
Language Technology Lab Seminars
Clinical De-Identification and Semantic Relatedness
NLIP Seminar Series
Analyzing and Summarizing Movies using Turning Points
Language Technology Lab Seminars
Supervising Robot Learning with Language and Video from the Web
Machine Learning Reading Group @ CUED
Deep Kernels
NLIP Seminar Series
How language understanding unfolds in minds and machines
Language Technology Lab Seminars
Document Summarisation: Modelling, Datasets and Verification of Content
Machine Learning Reading Group @ CUED
Mean Field Theory of NN (postponed to March 2022)
NLIP Seminar Series
Integrating Human Cognition with Natural Language Processing
Machine Learning Reading Group @ CUED
Representation Learning: A Causal Perspective
Machine Learning Reading Group @ CUED
Ethics, Integrity and Good Practice in ML
Language Technology Lab Seminars
Measuring Factuality in Text Generation: When Language Models Are Twisting the Facts
Machine Learning Reading Group @ CUED
Implicit Regularization in Deep Learning
NLIP Seminar Series
Toward Broad and Deep Language Understanding for Intelligent Systems
Language Technology Lab Seminars
Causal analysis of the syntactic representations of Transformers
Machine Learning Reading Group @ CUED
Planning Meeting + PI Presentations
NLIP Seminar Series
Exploring Feedback Comment Generation for Language Learners
Language Technology Lab Seminars
Unlikelihood-training and Back-training for robust natural language understanding
Machine Learning Reading Group @ CUED
Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models
Machine Learning Reading Group @ CUED
CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
NLIP Seminar Series
NMT Analysis: The Trade-Off Between Source and Target, and (a Bit of) the Training Process
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Finale Doshi-Velez
NLIP Seminar Series
Challenges in evaluating natural language generation systems
β οΈ Note unusual time
Language Technology Lab Seminars
Towards Knowledge-Robust and Multimodally-Grounded NLP
Machine Learning Reading Group @ CUED
Pseudo-Points and State-Space Gaussian Processes
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.
NLIP Seminar Series
Beyond Facts: The Problem of Framing in Assessing What is True
β οΈ Note unusual time
Machine Learning Reading Group @ CUED
The Statistical Finite Element Method
Language Technology Lab Seminars
Learning across Adverse Conditions in Natural Language Processing
NLIP Seminar Series
Typological Feature Prediction and Blinding for Cross-Lingual NLP
Language Technology Lab Seminars
Training for Deployment: Methods for Small and Efficient NLP
Machine Learning Reading Group @ CUED
CBL Alumni Talk - Our Power as Technical Designers
NLIP Seminar Series
Incorporating Structure into NLP Models with Graph Neural Networks
Language Technology Lab Seminars
NLP beyond English and mBERT's 100 languages
Machine Learning Reading Group @ CUED
Best of ICLR
NLIP Seminar Series
Adaptation and Control in Enterprise Language Technology
Language Technology Lab Seminars
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning
NLIP Seminar Series
Cross domain similarities and intra-person changes
Language Technology Lab Seminars
Domain Adaptation in NLP - Towards Adaptation to Any Domain
Language Technology Lab Seminars
Transcending Dependencies
Machine Learning Reading Group @ CUED
An Introduction to PAC-Bayes
Machine Learning Reading Group @ CUED
Automated Augmented Conjugate Inference for Gaussian Processes
Machine Learning Reading Group @ CUED
CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning
Machine Learning Reading Group @ CUED
Online Learning and Online Convex Optimisation
Machine Learning Reading Group @ CUED
Monte Carlo Gradient Estimation in Machine Learning
Machine Learning Reading Group @ CUED
Secondmind's research activities to make Gaussian Processes industry proof
Machine Learning Reading Group @ CUED
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Language Technology Lab Seminars
Learning language by observing the world and learning about the world from language
Machine Learning Reading Group @ CUED
Gaussian Processes I have Known
NLIP Seminar Series
ππππ₯³ NLP Social Hour π₯³πππ
NLIP Seminar Series
Representation Learning for Text Retrieval: Learning and Pretraining Strategies for Dense Retrieval
β οΈ Unusual date and time
Language Technology Lab Seminars
Achieving Universality in Machine Translation: M4 - Massively Multilingual, Massive MT Models for the Next 1000 Languages
Machine Learning Reading Group @ CUED
Causal Representation Learning
NLIP Seminar Series
[RESCHEDULED] Typological Feature Prediction and Blinding for Cross-Lingual NLP
β οΈ RESCHEDULED TBD
Language Technology Lab Seminars
Rethinking Benchmarking in AI
Machine Learning Reading Group @ CUED
Long-Range Transformers
NLIP Seminar Series
Papers with Code and the automatic extraction of results from papers
Language Technology Lab Seminars
Scalable Structural Inductive Biases in Neural Language Models
Machine Learning Reading Group @ CUED
Inference in Stochastic Processes
NLIP Seminar Series
The Science of Knowledge Equity - Research at Wikimedia
Language Technology Lab Seminars
Efficient sentence encoders for Conversational AI in the industry
Machine Learning Reading Group @ CUED
Fairness in AI
NLIP Seminar Series
Detecting the "Fake News" Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic
Language Technology Lab Seminars
Adapters in Transformers. A New Paradigm for Transfer Learning�
Machine Learning Reading Group @ CUED
Variational Bayes as Surrogate Regression
NLIP Seminar Series
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit
β οΈ Note unusual time
Language Technology Lab Seminars
From Translation Divergences to Structure-aware Neural Machine Translation
NLIP Seminar Series
Learning with Graphs in Natural Language Generation and Relation Extraction
Language Technology Lab Seminars
Towards explainable fact checking
NLIP Seminar Series
Revisiting and re-evaluating rumour stance classification
Language Technology Lab Seminars
Towards Perfect Supervised and Unsupervised Machine Translation
Machine Learning Reading Group @ CUED
Bayesian optimization / Gaussian Process Bandits
Machine Learning Reading Group @ CUED
Meta-reinforcement learning
Machine Learning Reading Group @ CUED
Best of NeurIPS
NLIP Seminar Series
Compositional Neural Meaning Representation Parsing
Language Technology Lab Seminars
Pitfalls in Evaluation of Multilingual Text Representations
Machine Learning Reading Group @ CUED
Neural Processes
NLIP Seminar Series
Improving Speech Translation with Linguistically-Informed Representations
Language Technology Lab Seminars
From Sparse Modeling to Sparse Communication
Machine Learning Reading Group @ CUED
Large-scale sequential experimentation
Language Technology Lab Seminars
Understanding Event Processes in Natural Language
Machine Learning Reading Group @ CUED
Symmetries in Reinforcement Learning
NLIP Seminar Series
Predicting Text Readability and Reading Comprehension from Reading Interactions
Language Technology Lab Seminars
Semiparametric Language Models
Machine Learning Reading Group @ CUED
Gradient-based Hyperparameter Optimisation
NLIP Seminar Series
How far have we come in giving our NLU systems common sense?
β οΈ Note time change
Machine Learning Reading Group @ CUED
Best Papers from ICML 2020
NLIP Seminar Series
Five Sources of Biases and Ethical Issues in NLP, and What to Do about Them
NLIP Seminar Series
What are the Goals of Distributional Semantics?
Machine Learning @ CUED
Efficient and Structured Uncertainty: Challenges and Opportunities
Machine Learning Reading Group @ CUED
Active Learning
NLIP Seminar Series
Towards explainable fact checking
Machine Learning Reading Group @ CUED
Recent advances in the theory and applications of VAEs
NLIP Seminar Series
Methodological advances in creating time sensitive sensors from language and heterogeneous user generated content
β οΈ Rescheduled
Machine Learning Reading Group @ CUED
Best of ICLR 2020
NLIP Seminar Series
Reducing gender bias in neural machine translation as a domain adaptation problem
β οΈ Online Seminar
Machine Learning Reading Group @ CUED
Differentiable Planning
Machine Learning Reading Group @ CUED
Recent Developments in Bayesian Deep Learning
Machine Learning Reading Group @ CUED
Strategic Classification
Machine Learning Reading Group @ CUED
Machine Learning on Sets
Machine Learning Reading Group @ CUED
Boltzmann Generators and Stochastic Normalizing Flows
Machine Learning Reading Group @ CUED
World Models
Machine Learning Reading Group @ CUED
Federated Learning
NLIP Seminar Series
Evaluating Deep Generative Models on Out-of-Distribution Inputs
Machine Learning @ CUED
Game Playing Meets Game Theory: Strategic Learning from Simulated Play
NLIP Seminar Series
Learning Tensors and Random Matrix Theory
Language Technology Lab Seminars
Variational Smoothing in Recurrent Neural Network Language Models
Machine Learning Reading Group @ CUED
Self-Supervised Representation Learning
NLIP Seminar Series
Shaping Recommendations in a Marketplace via User & Content Understanding
Machine Learning Reading Group @ CUED
Kernel Mean Embeddings
NLIP Seminar Series
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension
Language Technology Lab Seminars
Developing technologies for health, mental health and wellbeing
β οΈ A joint Leverhulme Centre for the Future of Intelligence (CFI) and Language Technology Lab (LTL) seminar on Human-Centric AI Technologies
Machine Learning Reading Group @ CUED
Neural Tangent Kernel
NLIP Seminar Series
Zero-shot Language Learning through Bayesian Neural Models
Language Technology Lab Seminars
Computational Models of the Influence of Context on Sentence Acceptability
Language Technology Lab Seminars
Urban Dictionary Embeddings for Slang NLP Applications
Machine Learning @ CUED
Robust Deep Learning Under Distribution Shift
Language Technology Lab Seminars
Hidden Biases. Ethical Issues in NLP, and What to Do about Them
β οΈ A joint Leverhulme Centre for the Future of Intelligence (CFI) and Language Technology Lab (LTL) seminar on Human-Centric AI Technologies
Language Technology Lab Seminars
Correlations Between Word Vector Sets
β οΈ A joint Leverhulme Centre for the Future of Intelligence (CFI) and Language Technology Lab (LTL) seminar on Human-Centric AI Technologies
NLIP Seminar Series
Long Form Question Answering
Machine Learning Reading Group @ CUED
Scalable Gaussian Processes
Machine Learning Reading Group @ CUED
Probabilistic Programming
Language Technology Lab Seminars
Natural Language Understanding and Generation with Abstract Meaning Representation
Machine Learning Reading Group @ CUED
Neural Attention
NLIP Seminar Series
CANCELLED Probabilistic models of graphs for meaning representations
β οΈ Extra talk: note unusual day and time
Language Technology Lab Seminars
BioNLP Research at Google
Machine Learning Reading Group @ CUED
Equivariance and Symmetries in CNNs
Machine Learning @ CUED
Models and inference for temporal Gaussian processes
Machine Learning Reading Group @ CUED
Hyperparameter Optimisation
NLIP Seminar Series
A Mutual Information Maximization Perspective of Language Representation Learning
Language Technology Lab Seminars
Learning region based representations of categories
Machine Learning Reading Group @ CUED
Meta-Learning or "Learning To Learn"
Machine Learning @ CUED
Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency
Machine Learning @ CUED
Constructing temporal latent spaces: Representation learning for clustering and imputation on time series
NLIP Seminar Series
Automatic Analysis of Affect and Personality Analysis in Multiperson Settings
Machine Learning @ CUED
Explaining Neural Networks: Post-hoc and Natural Language Explanations
Language Technology Lab Seminars
Unsupervised Question Answering
Machine Learning Reading Group @ CUED
Hamiltonian Monte Carlo for Hierarchical Models
NLIP Seminar Series
Multimodal natural language processing: when text is not enough
Language Technology Lab Seminars
Tensor product representations for RNNs / Revisiting post-processing for word embeddings
Language Technology Lab Seminars
Latent Variable Models for Text Generation
Machine Learning @ CUED
Learning-Algorithms from Bayesian Principles
NLIP Seminar Series
βProfit factoryβ and βbathroom breakβ: How to analyse compounds and how to predict their emergence
Machine Learning @ CUED
Rotation Invariant Householder Parameterization for Bayesian PCA
Machine Learning @ CUED
Two Approximate Sampling Methods for Bayesian Deep Learning
Machine Learning @ CUED
Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks
Machine Learning @ CUED
Efficiency and Transferability of Neural Networks
NLIP Seminar Series
Natural Language Generation in the Wild
Machine Learning @ CUED
Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference
Machine Learning @ CUED
Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition
NLIP Seminar Series
Duolingo: Improving Language Learning and Assessment with A.I.
NLIP Seminar Series
An Operation Sequence Model for Explainable Neural Machine Translation
Machine Learning @ CUED
Information Consumption on Social Media: Efficiency, Trust, and Divisiveness
NLIP Seminar Series
Continuous feature structures: Can we learn structured representations with neural networks?
Language Technology Lab Seminars
Relational knowledge in vector spaces
NLIP Seminar Series
Towards secure and efficient DNNs
Language Technology Lab Seminars
Imitation learning, zero-shot learning and automated fact checking
NLIP Seminar Series
Mitigating Gender Bias in Morphologically Rich Languages
Language Technology Lab Seminars
Predicting and Analysing Online User Behaviour with Natural Language Processing
NLIP Seminar Series
AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI
Machine Learning @ CUED
Why Do We Need New Hardware & Software for Machine Intelligence?
Machine Learning Reading Group @ CUED
Particle MCMC
NLIP Seminar Series
Factorising AMR generation through syntax
Language Technology Lab Seminars
How to Pay Attention: Learning to Transfer Knowledge between Sentences and Tokens
Machine Learning Reading Group @ CUED
Stochastic Differential Equations
Machine Learning @ CUED
Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees
NLIP Seminar Series
Languages* in Formal Reasoning: Accessibility vs. Formality
Machine Learning Reading Group @ CUED
Generalisation in neural networks
NLIP Seminar Series
Word Sense Disambiguation and Other Systems in Japanese
Machine Learning Reading Group @ CUED
An Overview of Normalizing Flows
Machine Learning @ CUED
NeVAE: A Deep Generative Model for Molecular Graphs
Machine Learning @ CUED
Global model explainability via aggregation
Language Technology Lab Seminars
Finding translations in unordered text using multilingual sentence representations
Machine Learning Reading Group @ CUED
Sampling as Optimization
Machine Learning @ CUED
Robust machine learning for causal inference in health care
Computational Neuroscience
The K-FAC method for neural network optimization
Language Technology Lab Seminars
Disagreements in anaphoric interpretation
Machine Learning Reading Group @ CUED
Implicit Variational Inference
NLIP Seminar Series
K.A.T.E.: Scaling personalised tech education for professionals
Language Technology Lab Seminars
Improving Literature-based Discovery with Neural Networks
Machine Learning Reading Group @ CUED
Continual Learning: Definitions, Benchmarks, and Approaches
NLIP Seminar Series
Learning multi-domain dialogues
Machine Learning Reading Group @ CUED
Causal Inference and Causal Reinforcement Learning
NLIP Seminar Series
Large-scale analyses of language variation and change in social media
Language Technology Lab Seminars
Teaching Artificial Agents to Understand Language by Modelling Reward
Machine Learning Reading Group @ CUED
Generative models for few-shot prediction tasks
NLIP Seminar Series
Understanding Source Code using Natural Language and Graph Neural Networks
Language Technology Lab Seminars
Do Deep Generative Models Know What They Don't Know?
Machine Learning @ CUED
Online Meta-Learning
Machine Learning Reading Group @ CUED
Logical Uncertainty
NLIP Seminar Series
Learning to navigate without a map (but with instructions)
Language Technology Lab Seminars
Probabilistic Typology
Computational Neuroscience
High-dimensional dynamics of generalization error in neural networks: implications for experience replay
NLIP Seminar Series
Topic-Aware Convolutional Neural Networks for Extreme Summarization
Machine Learning @ CUED
Gauge Equivariant Convolutional Networks on Manifolds
Machine Learning Reading Group @ CUED
Stein Discrepancy
NLIP Seminar Series
**CANCELLED** Probabilistic Typology: Deep Generative Models of Vowel Inventories
Machine Learning @ CUED
Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems
Language Technology Lab Seminars
Learning and testing compositionality
NLIP Seminar Series
What makes psychotherapy work? Using deep learning to quantify the relationship between therapy content and outcomes
Machine Learning @ CUED
Fairness for Sequential Decision Making Algorithms
Machine Learning @ CUED
Gaussian processes for inferring latent functions in complex data models
Language Technology Lab Seminars
Linguistic Measures for the Detection of Clinical Conditions
Machine Learning Reading Group @ CUED
Neural Ordinary Differential Equations
Language Technology Lab Seminars
Emergence of (linguistic) communication through multi-agent interactions
Machine Learning Reading Group @ CUED
Natural gradient in deep neural networks
NLIP Seminar Series
The Ethics of Artificially Intelligent Communications Technology
β οΈ Room changed
Language Technology Lab Seminars
Learning with Explanations
Machine Learning Reading Group @ CUED
Graph Neural Networks
NLIP Seminar Series
Knowledge Representation and Extraction at Scale
Language Technology Lab Seminars
Cross-Lingual Word Embeddings in 60 Minutes
Machine Learning Reading Group @ CUED
Defending Against Adversarial Attacks
Language Technology Lab Seminars
On KL divergence and beyond
Machine Learning Reading Group @ CUED
Reinforcement Learning and Control as Probabilistic Inference
NLIP Seminar Series
Deep learning for automatically assessing the pronunciation of non-native English speakers
Language Technology Lab Seminars
Representation Learning and Neuro-Symbolic Reasoning in Knowledge Graphs and Natural Language
NLIP Seminar Series
Learning, Representing, and Understanding Language
LTL Seminars 2018/2019
Practical Approaches to Conversational AI
NLIP Seminar Series
Some lessons learned in Multimodal Representations and Transfer
Machine Learning @ CUED
Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms
LTL Seminars 2018/2019
LION-LBD: Literature-Based Discovery for Cancer Biology
NLIP Seminar Series
Imitation learning, zero-shot learning and automated fact checking
Machine Learning @ CUED
Interpretability - the myth, questions, and some answers
Machine Learning @ CUED
Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)
Machine Learning @ CUED
Fast yet Simple Natural-Gradient Variational Inference in Complex Models
Machine Learning @ CUED
Variance in Policy Gradient methods and Learning Sequential Latent Variable Models
Machine Learning @ CUED
Structured deep models: Deep learning on graphs and beyond
Language Technology Lab Seminars
Language Adaptation experiments: Cross-lingual embeddings for related languages
Machine Learning @ CUED
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
NLIP Seminar Series
Functional Distributional Semantics: Learning Linguistically Informed Representations from a Precisely Annotated Corpus
Language Technology Lab Seminars
Methods and Interactive Tools for Exploring the Semantics of Essentially Contested Concepts
NLIP Seminar Series
Learning hierarchical structure: strong learning of PCFGs
Language Technology Lab Seminars
Imitation learning for language generation
NLIP Seminar Series
NAACL practice talks
Machine Learning @ CUED
Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
NLIP Seminar Series
The potential of synthetic data for more informative evaluation in Visual Question Answering
NLIP Seminar Series
Emergent Communication through Negotiation
Machine Learning @ CUED
Algorithmic Glass Ceiling in Social Networks
NLIP Seminar Series
Predictive Uncertainty in Deep Learning
Language Technology Lab Seminars
Scalable Non-Markovian Language Modelling
NLIP Seminar Series
Multilingual NLP via Cross-Lingual Word Embeddings
Machine Learning @ CUED
A Bayesian Perspective on Generalization and SGD
Machine Learning @ CUED
Algorithmic Glass Ceiling in Social Networks
NLIP Seminar Series
** cancelled **
Language Technology Lab Seminars
Knowledge Acquisition from Corpora and the Wisdom of Crowds
NLIP Seminar Series
Virtual bargaining as a micro-foundation for communication
β οΈ Note unusual time
Machine Learning Reading Group @ CUED
Neural Networks and Natural Language Processing
Machine Learning @ CUED
Structure in tensor-variate data: a trivial byproduct of simpler phenomena?
NLIP Seminar Series
Jointly Learning Syntax and Semantics
Machine Learning Reading Group @ CUED
Information Theory, Codes, and Compression
Language Technology Lab Seminars
NLP in the clinical domain - data, approaches and considerations
NLIP Seminar Series
Constructing datasets for multi-hop reading comprehension across documents
NLIP Seminar Series
Deep reinforcement learning for dialogue policy optimisation
Machine Learning @ CUED
Lipschitz Global Optimization
Machine Learning Reading Group @ CUED
Statistical Learning Theory
Language Technology Lab Seminars
Predicting Judicial Decisions of the European Court of Human Rights
NLIP Seminar Series
Pruning and grafting syntactic trees for cross-lingual transfer tasks
Language Technology Lab Seminars
Graph Convolutional Networks for Natural Language Processing and Relational Modeling
Machine Learning Reading Group @ CUED
Deep Generative Models
Machine Learning Reading Group @ CUED
Minimum Description Length
Language Technology Lab Seminars
Interdisciplinarity: The art of unsettling multiple disciplines
Language Technology Lab Seminars
Context Sensitive Distributional Semantics
Machine Learning Reading Group @ CUED
Machine Learning for Sounds
Language Technology Lab Seminars
Senses can help vector space models of lexical substitution
Machine Learning Reading Group @ CUED
NIPS 2017 Highlights
Machine Learning @ CUED
Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors
Machine Learning @ CUED
Bayesian Generative Adversarial Networks
Machine Learning @ CUED
AI for Inclusive Finance
Machine Learning Reading Group @ CUED
Hardware Efficient Machine Learning
Language Technology Lab Seminars
Sentence Generation using a Dynamic Canvas
Machine Learning @ CUED
Backprop through the Void: Optimizing Control Variates for Black-Box Gradient Estimation.
NLIP Seminar Series
Imitation learning for structured prediction and automated fact checking
Machine Learning @ CUED
Learning to Learn without Gradient Descent by Gradient Descent
Machine Learning Reading Group @ CUED
Learning to Learn
Language Technology Lab Seminars
Learning to Create and Reuse Words in Open-Vocabulary Language Modeling
NLIP Seminar Series
Internal seminar - new PhD students
Machine Learning @ CUED
Towards true end-to-end learning & optimization
Machine Learning Reading Group @ CUED
WGAN and Optimal Transport
NLIP Seminar Series
Labelling Topics Using Neural Networks
Machine Learning Reading Group @ CUED
Interpretability in Machine Learning
Language Technology Lab Seminars
What can online collaborative dictionaries tell us about language and social dynamics?
Machine Learning Reading Group @ CUED
Deep Structured Prediction for Handwriting Recognition
Language Technology Lab Seminars
Corpus-Based Analysis of the Canonical Word Order of Japanese Double Object Constructions
Machine Learning @ CUED
Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making
NLIP Seminar Series
Grounded language learning in simulated worlds
Machine Learning Reading Group @ CUED
Cooperative Inverse RL
NLIP Seminar Series
Towards More Robust and Interpretable Models for Structured Prediction and Language Generation
Machine Learning Reading Group @ CUED
Infer.NET
Machine Learning @ CUED
Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning
Language Technology Lab Seminars
Internal LTL Seminar
Machine Learning @ CUED
Transfer Learning for NLP
NLIP Seminar Series
Neural Models for Information Retrieval
Language Technology Lab Seminars
Internal LTL Seminar
Language Technology Lab Seminars
Detecting Semantic Change Using LDA in Historical Texts: a Case Study on Dutch
NLIP Seminar Series
Text-to-text Generation Beyond Machine Translation
Language Technology Lab Seminars
Detecting Text Reuse in Large Historical Corpora and Authorship Attribution of Premodern Documents
Machine Learning @ CUED
A Bayesian Treatment for Uncertainty -- and its application in health care
NLIP Seminar Series
Finite-State Transducers as a Theory of Dependency Structured Natural Language
Language Technology Lab Seminars
Natural Language Processing to Bridge Heterogeneous Data
Machine Learning @ CUED
Unbiased Estimation of the Eigenvalues of Large Implicit Matrices
Machine Learning @ CUED
The Grammar Variational Autoencoder & Counterfactual Fairness
Machine Learning @ CUED
Accelerating computation of SVM and DNN by binary approximation
Machine Learning @ CUED
Towards User-Friendly Image Inpainting: Learning-to-Rank based Image Quality Assessment for Image Inpainting
Machine Learning @ CUED
Deep learning for autonomous driving
Language Technology Lab Seminars
Modeling Context-sensitive Selectional Preference with Distributed Representations
Machine Learning @ CUED
Understanding Black-box Predictions via Influence Functions
Machine Learning @ CUED
A simple neural network module for relational reasoning
Machine Learning @ CUED
Future technology: machine learning using memristors networks
Machine Learning @ CUED
Future technology: machine learning using memristors networks
NLIP Seminar Series
Deep NLP in language tutoring
Language Technology Lab Seminars
Linguists-defined and Machine-induced Natural Language Structures to Executable Logical Forms
NLIP Seminar Series
Predicting Rich Linguistic Structure with Neural Networks
Language Technology Lab Seminars
Vanishing laws of semantic change - studying semantic change using distributional word representations and proper control condition
NLIP Seminar Series
Functional Distributional Semantics
NLIP Seminar Series
NLP, the perfect social (media) science?
NLIP Seminar Series
Sentence-level Topic Models
Language Technology Lab Seminars
Statistical Properties and Applications of Word Tensors
NLIP Seminar Series
Text Simplification: Where are we now, and where are we headed?
Language Technology Lab Seminars
Location Resolution in Language Processing
Machine Learning @ CUED
On Different Distances Between Distributions and Generative Adversarial Networks
NLIP Seminar Series
Neural Architectures for Sequence Labelling
Language Technology Lab Seminars
Reading and Reasoning with Vector Representations
NLIP Seminar Series
Neural Belief Tracker: Data-Driven Dialogue State Tracking using Semantically Specialised Vector Spaces
Language Technology Lab Seminars
Building a True Semantic World: Generalizing set-theoretic semantics in vector spaces
Language Technology Lab Seminars
Cross-lingual Learning 2.0
Language Technology Lab Seminars
Semantic (Vector) Representations of Word Senses, Concepts and Entities and their Applications
Language Technology Lab Seminars
Internal LTL meeting
Machine Learning Study Group
Deep Learning Book - Meeting 9 - Representation Learning
Machine Learning Study Group
Deep Learning Book - Meeting 8 - Autoencoders
Language Technology Lab Seminars
Scientific Paper Analysis: JST CREST Project of Big Data Application
Machine Learning Study Group
Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs
Machine Learning Reading Group @ CUED
Kernel Mean Embeddings
Language Technology Lab Seminars
Internal LTL meeting
Information Engineering Division seminar list
Bayesian Optimization for Probabilistic Programs
Machine Learning Study Group
Deep Learning Book - Meeting 6 - Recurrent Neural Networks
Machine Learning @ CUED
Differentially Private Bayesian Learning
NLIP Seminar Series
Neural Variational Inference for NLP
Computational and Biological Learning Seminar Series
Control, inference and learning
Machine Learning Reading Group @ CUED
Differential Privacy
Machine Learning @ CUED
Differential Privacy Tutorial
Language Technology Lab Seminars
Knowledge Base Population from Text and Graphs
NLIP Seminar Series
Learning Hierarchical Word and Sentence Representations
Machine Learning Study Group
Deep Learning Book - Meeting 5 - ResNets and DenseNets
NLIP Seminar Series
EACL potpourri
Machine Learning @ CUED
Cooperative Inverse Reinforcement Learning
Machine Learning Study Group
Deep Learning Book - Meeting 4 - Convolutional Networks
Language Technology Lab Seminars
Computational approaches for deciphering the regulation of cancer genomes
Machine Learning Reading Group @ CUED
Probabilistic Numerics
Language Technology Lab Seminars
Title to be confirmed
Machine Learning Study Group
Deep Learning Book - Meeting 3 - Optimization
NLIP Seminar Series
Imitation learning for language generation from unaligned data
Machine Learning @ CUED
Bayesian optimisation in many dimensions with bespoke probabilistic programs
Language Technology Lab Seminars
Challenges and opportunities in the use of Internet data for insights on medicine
Machine Learning Study Group
Deep Learning Book - Meeting 2 - Regularization
Machine Learning Study Group
Deep Learning Book - Meeting 1 - Deep Feedforward NNs
Language Technology Lab Seminars
Learning to Generate Textual Data
Machine Learning @ CUED
Variational Bayes In Private Settings
Machine Learning @ CUED
Julia: Introduction and new developments
NLIP Seminar Series
Learning Commonsense Event Schemas from Unlabeled Text
Machine Learning Reading Group @ CUED
NIPS 2016 papers in 5mins
Language Technology Lab Seminars
Reflections on Universal Dependencies
Language Technology Lab Seminars
Internal LTL meeting
Machine Learning @ CUED
Bayesian optimality and frequentist extended admissibility are equivalent in saturated models
Machine Learning @ CUED
Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration
Machine Learning @ CUED
Variational autoencoders with latent graphical models
NLIP Seminar Series
Internal Seminar pt. 2
Machine Learning Reading Group @ CUED
Symmetry in Statistical Models
Machine Learning @ CUED
Learning with limited supervision
NLIP Seminar Series
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
Machine Learning Reading Group @ CUED
Bayesian Optimization
Machine Learning @ CUED
A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings
Language Technology Lab Seminars
Sensing well-being using heterogeneous smartphone data and stance identification in social media conversations
Machine Learning @ CUED
Rejection Sampling Variational Inference
NLIP Seminar Series
Learning to Detect Stance and Represent Emojis
Machine Learning Reading Group @ CUED
deep generative models
Language Technology Lab Seminars
Industrial NLP Applications of Machine Learning in Different Domains
Machine Learning @ CUED
Probabilistic Numerical Computation: A New Concept?
NLIP Seminar Series
Recommending relevant citations using CoreSC and Argumentative Zoning
Machine Learning Reading Group @ CUED
Sketching methods
Language Technology Lab Seminars
Monolingual and multilingual, explicit and latent vector representations of meaning
Machine Learning @ CUED
A talk in two parts: (1) AI Neuroscience: How much do deep neural networks understand about the images they classify? (2) Robots that can adapt like animals.
β οΈ Note venue: James Dyson Building
Machine Learning Reading Group @ CUED
A crash-course on Bayesian Reinforcement Learning
Language Technology Lab Seminars
Biomedical Text Mining: Structuring the Unstructured
Machine Learning @ CUED
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Machine Learning @ CUED
Robots learning on the move: deep learning from lots of demonstration
Language Technology Lab Seminars
User-generated content mining: From collective disease rates to individual demographics
Language Technology Lab Seminars
Nursing Turing's Child: How to Grow Communication-based Intelligent Machines
NLIP Seminar Series
Numerically Grounded Language Models
Language Technology Lab Seminars
Building and using the Finnish Internet Parsebank
Machine Learning @ CUED
Probabilistic modeling for position and orientation estimation using inertial sensors
NLIP Seminar Series
Internal Seminar pt. 1
Language Technology Lab Seminars
Internal LTL meeting
Machine Learning @ CUED
Moment matching for latent variable models: from ICA to LDA and CCA
Language Technology Lab Seminars
Multiword Expressions and Compositionality Detection: Giving Word Embeddings a Hard Time
Machine Learning @ CUED
Multiresolution Matrix Factorization
Machine Learning @ CUED
Dynamic Models for Health Data
Machine Learning @ CUED
Learning with Memory Embeddings
Machine Learning @ CUED
Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories
Machine Learning @ CUED
Inference as Learning
Machine Learning @ CUED
Interpretable and interactive machine learning
Machine Learning @ CUED
Discriminative Embeddings of Latent Variable Models for Structured Data
Machine Learning @ CUED
Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology
Machine Learning @ CUED
Scaling and Generalizing Approximate Bayesian Inference
NLIP Seminar Series
Text Readability Assessment for Second Language Learners
arg58's list
A modular architecture for Unicode text compression
NLIP Seminar Series
Strong Structural Priors for Neural Network Architectures
Machine Learning @ CUED
Modeling the Dynamics of Online Learning Activity
Machine Learning @ CUED
Developments in Exact Inference in Graphical Models
Machine Learning @ CUED
Approximation strategies for structure learning in Bayesian networks
β οΈ Note: via Skype!
Machine Learning @ CUED
Automated Reasoning and AI for Large Formal Mathematics
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
Machine Learning @ CUED
Variational inference for scalable Gaussian process approximations
Machine Learning @ CUED
Novel MCMC and SMC schemes for Poisson-Kingman Bayesian Nonparametric mixture models
Machine Learning @ CUED
Turing: Rejuvenating Probabilistic Programming in Julia
NLIP Seminar Series
Incremental CCG parsing and its applications
Machine Learning @ CUED
Towards Weaker Supervision and Simpler Pipelines in Speech Recognition
Machine Learning Reading Group @ CUED
Learning polynomials with Neural Networks
Machine Learning @ CUED
Sum-Product Networks for Probabilistic Modeling
NLIP Seminar Series
Conversation Trees: A Grammar Model for Topic Structure in Online Forums
NLIP Seminar Series
Generating Natural-Language Video Descriptions using LSTM Recurrent Neural Networks
Machine Learning @ CUED
MLE-Struct: Bethe Learning of Graphical Models
Machine Learning Reading Group @ CUED
An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models
NLIP Seminar Series
Maternal Health in Uganda: Listen Intelligently to Local Voices combining Language and Technology
Machine Learning Reading Group @ CUED
Topics in Expectation Propagation
Machine Learning Reading Group @ CUED
Deep Q-Learning and AlphaGo
NLIP Seminar Series
From passive to interactive (multimodal) language learning
Machine Learning Reading Group @ CUED
inference failures in probabilistic programming
NLIP Seminar Series
Where Can I Buy a Boulder? Searching for Offline Retail Locations
Machine Learning Reading Group @ CUED
Variational Methods and Compressed Sensing
Machine Learning @ CUED
Inference and Learning in the Anglican Probabilistic Programming System
Machine Learning Reading Group @ CUED
Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution
NLIP Seminar Series
Texts Come from People - How Demographic Factors Influence NLP Models
Machine Learning @ CUED
Unsupervised Risk Estimation with only Structural Assumptions
Computational Neuroscience
It's the Network Dummy: Exhuming the reticular theory while shoveling a little dirt on the neuron doctrine
NLIP Seminar Series
Tracing concepts through time
Machine Learning @ CUED
The geometry of uncertainty
NLIP Seminar Series
General-Purpose Representation Learning from Words to Sentences
β οΈ ***PLEASE NOTE CHANGED (DIFFERENT) TIME***
Machine Learning Reading Group @ CUED
Probabilistic programming
NLIP Seminar Series
Understanding generative learning in the individual brain
Machine Learning Reading Group @ CUED
Learning by learning rich generative models
NLIP Seminar Series
Data Science at The Guardian
NLIP Seminar Series
What Happens Next? Event Prediction Using a Compositional Neural Network Model
Machine Learning @ CUED
A more Automated Statistician
Machine Learning Reading Group @ CUED
Natural gradient descent and variational inference
NLIP Seminar Series
Modern Deep Learning through Bayesian Eyes
Machine Learning Reading Group @ CUED
Differentiable Data Structures and (if we have time) POMDPs
β οΈ NOTE Topic Change
NLIP Seminar Series
Multilingual Image Description with Neural Sequence Models
NLIP Seminar Series
Sentence Entailment in Categorical Compositional Distributional Semantics
Machine Learning Reading Group @ CUED
Random projection ensemble classification
Machine Learning Reading Group @ CUED
Deep learning for time series
Machine Learning Reading Group @ CUED
Stochastic discrete integration
Machine Learning @ CUED
General Reinforcement Learning
NLIP Seminar Series
Efficient Constrained Inference and Structured Neural Networks for Semantic Role Labeling
NLIP Seminar Series
Lacking Integrity: HPSG as a Morphosyntactic Theory
Machine Learning Reading Group @ CUED
Stochastic optimization and adaptive learning rates
Machine Learning Reading Group @ CUED
Logic, Theorem Proving, and Probabilistic Programming
NLIP Seminar Series
Motivation and learning in citizen science: The role of automatically generated feedback.
Machine Learning Reading Group @ CUED
Connections between kernels, GPs, and NNs
Machine Learning @ CUED
Inference of a partially observed kinetic Ising model
NLIP Seminar Series
How much linguistics is needed for NLP?
Machine Learning Reading Group @ CUED
Detecting paraphrases using recursive autoencoders
NLIP Seminar Series
Internal Seminar
Machine Learning Reading Group @ CUED
Bayesian optimization and its applications
NLIP Seminar Series
Internal Seminar
Machine Learning Reading Group @ CUED
LP relaxations for MAP inference
Machine Learning @ CUED
Meta-Bayesian Analysis
Machine Learning @ CUED
Efficient Inference and Learning with Intractable Posteriors? Yes, Please.
NLIP Seminar Series
Understanding Word Embeddings
NLIP Seminar Series
Unweaving The Lexical Rainbow: Grounding Linguistic Creativity in Perceptual Semantics
β οΈ We only have LT2 for the hour, so please don't enter before 1pm and don't be late for the talk, as it will start promptly at 1:05 and we'll have to leave before 2pm.
NLIP Seminar Series
Game of Tropes: Exploring the Placebo Effect in Computational Creativity
NLIP Seminar Series
Joint A* Syntactic and Semantic Parsing for CCG
Machine Learning @ CUED
Efficient multi-task Gaussian process models for genome-wide association studies
Machine Learning @ CUED
Harmonic Exponential Families and Group-Equivariant Convolution Networks
Machine Learning @ CUED
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters
Machine Learning @ CUED
A-Star Sampling Review
Machine Learning @ CUED
Convex Factorization Machines
NLIP Seminar Series
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
NLIP Seminar Series
Learning Structural Kernels for Natural Language Processing
Machine Learning @ CUED
Belief and Truth in Hypothesised Behaviours
Machine Learning @ CUED
Training and Understanding Deep Neural Networks for Robotics, Design, and Perception
Machine Learning @ CUED
Information-Theoretic Bounded Rationality
Machine Learning @ CUED
The limits of MAP inference by MWSS on perfect graphs
NLIP Seminar Series
Cross-lingual transfer of a semantic parser via parallel data
Machine Learning @ CUED
Scalable Gaussian Processes for Scientific Discovery
Machine Learning @ CUED
MCMC for non-linear state space models using ensembles of latent sequences
β οΈ (via Skype!)
Machine Learning @ CUED
Gradient-based hyperparameter optimization through reversible learning
Machine Learning @ CUED
Rich Component Analysis
Machine Learning @ CUED
A new MCMC hybrid scheme for Poisson-Kingman Bayesian Nonparametric mixture models
Machine Learning @ CUED
Modeling Confounding by Half-Sibling Regression
β οΈ SHORT TALK (20 minutes)
Machine Learning @ CUED
Extreme Classification: A New Paradigm for Ranking & Recommendation
Machine Learning @ CUED
Convex and non-convex worlds in machine learning
Machine Learning @ CUED
Random Function Classes for Machine Learning
Machine Learning @ CUED
Explaining Non-Linear Classifier Decisions with application to Deep Learning
Machine Learning @ CUED
Deep Gaussian processes and variational propagation of uncertainty
Machine Learning @ CUED
Deep Learning
Machine Learning @ CUED
Random Function Classes for Machine Learning
NLIP Seminar Series
Improving & Better Understanding Word Vector Representations
Machine Learning @ CUED
Unsupervised Learning with Latent Variable Models
Machine Learning @ CUED
Unsupervised Learning with Latent Variable Models
NLIP Seminar Series
Crowdsourcing the annotation of rumours in social media
Machine Learning @ CUED
Structural Markov laws / Geometry and HMC
Machine Learning @ CUED
Mean Field Approaches to Two Sequential Decision Making Problems.
β οΈ This talk will be given via Skype
NLIP Seminar Series
Natural Language Generation from Semantic Web Ontologies
Machine Learning @ CUED
Do Deep Nets Really Need to be Deep?
NLIP Seminar Series
Deep consequences: Why syntax (as we know it) isn't a thing, and other (shocking?) conclusions from modelling language with neural nets.
NLIP Seminar Series
Open System Categorical Quantum Semantics in Natural Language Processing
Machine Learning Reading Group @ CUED
Convolutional Neural Networks
NLIP Seminar Series
Model Theory and the Semantics of Natural Languages
Machine Learning Reading Group @ CUED
Hessian-free Optimisation for Neural Networks
Machine Learning @ CUED
Probabilistic numerics: treating numerical computation as learning, or; it's Bayes all the way down
NLIP Seminar Series
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Machine Learning Reading Group @ CUED
Scalable MCMC
NLIP Seminar Series
Disfluency detection in spoken learner English
NLIP Seminar Series
Modelling implicit language learning with distributional semantics
Machine Learning @ CUED
Machine Learning for Quantitative Finance: A collaboration between the Cambridge Machine Learning Group and Cambridge Capital Management
NLIP Seminar Series
Statistical modelling of metaphor
Machine Learning Reading Group @ CUED
Causal Inference
Machine Learning @ CUED
Title to be confirmed
NLIP Seminar Series
The Geometry of Machine Translation
Machine Learning Reading Group @ CUED
Gaussian Process Models for Time Series
Machine Learning @ CUED
Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference
NLIP Seminar Series
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics
NLIP Seminar Series
Leveraging a Semantically Annotated Corpus to Disambiguate Prepositional Phrase Attachment
Machine Learning Reading Group @ CUED
Informational Geometry
Machine Learning Reading Group @ CUED
Deep Gaussian Processes
Machine Learning Reading Group @ CUED
Combinatorial Stochastic Processes in Bayesian Nonparametrics
Machine Learning @ CUED
Evolutionary dynamics in a continuous public goods game
NLIP Seminar Series
Learning Latent Syntactic Representations with Joint Models
Machine Learning @ CUED
An introduction to the Mondrian Process
NLIP Seminar Series
Are you losing Structures in Distributional Vectors? Smoothed Distributed Tree Kernels and the Convolution Conjecture
Machine Learning @ CUED
Population Inference for Functional Brain Connectivity
Machine Learning @ CUED
Probabilistic approaches to understanding bird conversations
Machine Learning @ CUED
A* Sampling
NLIP Seminar Series
Argument Mining from Text for Teaching and Assessing Writing
NLIP Seminar Series
Interpreting Document Collections Using Topic Models
Machine Learning Reading Group @ CUED
Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo
Machine Learning @ CUED
Orthologous networks in biological systems
NLIP Seminar Series
A Probabilistic Framework for Modeling Cross-Lingual Semantic Similarity (out of and in Context) Based on Latent Cross-Lingual Concepts
NLIP Seminar Series
Towards quantum algorithms for natural language processing
Machine Learning Reading Group @ CUED
Transfer Learning
Machine Learning @ CUED
Latent Branching Trees
NLIP Seminar Series
Frontiers in Named Entity Recognition and Linking
Machine Learning @ CUED
Experiments with Non-parametric Topic Models
Machine Learning Reading Group @ CUED
Advanced HMC
NLIP Seminar Series
Relating Native Language Typology to Foreign Language Usage
NLIP Seminar Series
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning @ CUED
The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models
NLIP Seminar Series
An embodied model of clause syntax
NLIP Seminar Series
Mining the Social Web: A series of statistical NLP case studies
Machine Learning Reading Group @ CUED
Deep Probabilistic Models (Wake/Sleep)
NLIP Seminar Series
Composed, Distributed Reflections on Semantics and Statistical Machine Translation
Machine Learning @ CUED
Machine Translation with LSTMs
β οΈ Room changed to LR3B in Inglis building and time changed to 10:30
Machine Learning Reading Group @ CUED
PAC Bayes
Machine Learning @ CUED
Oracle Variational Inference
NLIP Seminar Series
A Polya Urn Document Language Model for Information Retrieval
Machine Learning Reading Group @ CUED
LSTM and Recurrent Neural Networks
NLIP Seminar Series
Exploratory Search and Trend Detection
Machine Learning @ CUED
Bayesian modeling for high-level real nursing activity recognition using accelerometers
β οΈ short talk
Machine Learning Reading Group @ CUED
Automatic Differentiation with Theano
NLIP Seminar Series
The Theory and Practice of Compositional Distributed Semantics
Machine Learning Reading Group @ CUED
State Space Abstraction for Reinforcement Learning
NLIP Seminar Series
The case for a Computational Neurolinguistics
NLIP Seminar Series
Internal Seminar 2
Machine Learning Reading Group @ CUED
Kernel Embedding for Distributions
Machine Learning @ CUED
A Tutorial on Probabilistic Programming
NLIP Seminar Series
First Step toward Neural Machine Translation
CUED Control Group Seminars
Optimal control and optimal sampling: A statistical physics perspective.
NLIP Seminar Series
Creative Coding in Education
NLIP Seminar Series
Internal Seminar 1
Machine Learning @ CUED
New Methods in Bayesian Optimization for Machine Learning
Machine Learning @ CUED
A marginal sampler for Ο-Stable Poisson-Kingman mixture models
Machine Learning @ CUED
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
NLIP Seminar Series
Language and Demographics on Twitter: Inferring Latent User Attributes from Streaming Communications
Machine Learning @ CUED
Unsupervised Many-to-many Object Matching
Machine Learning @ CUED
Probabilistic Numerics - a snapshot of an emerging community
NLIP Seminar Series
Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
NLIP Seminar Series
Unsupervised learning of rhetorical structure with un-topic models
Machine Learning @ CUED
On the Bethe approximation
NLIP Seminar Series
Distributional semantics and beyond: Composition, generation and alignment
NLIP Seminar Series
Context-dependent Semantic Parsing for Time Expressions
Machine Learning @ CUED
Gaussian process regression on graphs
Machine Learning @ CUED
Implicit Representation Networks
Machine Learning @ CUED
Scalable Deep Gaussian Processes
NLIP Seminar Series
Helping 10% of the people to read and write better
Machine Learning Reading Group @ CUED
Unsupervised Representation Learning
Machine Learning @ CUED
Active Learning of Linear Embeddings for Gaussian Processes
NLIP Seminar Series
Multilingual Models for Distributed Semantics
NLIP Seminar Series
Shift-Reduce CCG Parsing with a Dependency Model
NLIP Seminar Series
Looking for hyponyms in vector space
NLIP Seminar Series
Grammatical error correction using hybrid systems and type filtering
Machine Learning @ CUED
Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty
Machine Learning @ CUED
Unifying logic and probability: A "New Dawn" for Artificial Intelligence?
β οΈ NOTE THE SPECIAL VENUE (Microsoft Research)
NLIP Seminar Series
Robust multilingual syntactic parsing
Machine Learning Reading Group @ CUED
ββTime-varying dynamic Bayesian network reconstruction with information sharingβ
NLIP Seminar Series
Advanced Graph-based and Transition-based Dependency Parsing Approaches and Recent Trends towards Joint Syntactic and Morphologic Disambiguation
Machine Learning Reading Group @ CUED
Advanced Gaussian Process approximation methods
Machine Learning @ CUED
Practical Machine Learning at Facebook. Examples and Lessons Learnt.
β οΈ Room changed to LR4
Machine Learning @ CUED
Bayesian inference for integer-valued LΓ©vy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling
β οΈ short talk (30 mins) - NOTE TIME CHANGE
Machine Learning Reading Group @ CUED
Statistical model criticism
Machine Learning @ CUED
Density Estimation in Infinite Dimensional Exponential Families
NLIP Seminar Series
Identifying Deixis to Communicative Artifacts in Text
Machine Learning @ CUED
Stable Poisson-Kingman species sampling priors generated by general ordered size biased generalized gamma mixing distributions
NLIP Seminar Series
Natural Language Parsing -- for what purpose?
Machine Learning Reading Group @ CUED
Functional Programming
Machine Learning Reading Group @ CUED
The Bernoulli Factory problem and some connections with Computable Analysis
NLIP Seminar Series
Adjective modification in compositional distributional semantics
Machine Learning Reading Group @ CUED
Neural Network Language Modelling
NLIP Seminar Series
Using Semantics to help learn Phonetic Categories
Machine Learning @ CUED
Probabilistic computing applications: BayesDB and stochastic digital circuits
Machine Learning Reading Group @ CUED
Loopy belief propagation
Machine Learning @ CUED
Probabilistic computing for Bayesian inference
Machine Learning @ CUED
Machine Learning and Order Book Dynamics
NLIP Seminar Series
Design decisions in web corpus construction and their impact on distributional semantic models
Machine Learning @ CUED
Policy Evaluation with Temporal Differences
NLIP Seminar Series
Exploiting Large Corpora for Parsing
Machine Learning @ CUED
Matrix Means, Distances, Kernels, and Geometric Optimization
NLIP Seminar Series
Exploiting Query Logs to Build Adaptive Domain Models for Search and Navigation
Machine Learning @ CUED
Learning to Learn for Structured Sparsity
NLIP Seminar Series
The semantics of poetry: a distributional reading
β οΈ This talk is also a part of the Language Sciences Interdisciplinary Programme.
Machine Learning @ CUED
Bayesian nonparametric dynamic-clustering and genetic imputation
NLIP Seminar Series
Constructing topical hierarchies for Expertise Mining
Machine Learning @ CUED
Parameter estimation in deep learning architectures: Two new insights.
β οΈ Note: time is 12 noon (*not* 11am)
Machine Learning @ CUED
Bayesian canonical correlation analysis
Machine Learning @ CUED
Cambridge - Tuebingen PhD Applicant Talks (via Skype)
β οΈ Interview talks via Skype
Machine Learning @ CUED
Generative probabilistic programming: applications and new ideas
NLIP Seminar Series
A Quest Towards Understanding the Challenges of Spoken Content Retrieval
Machine Learning @ CUED
Bayesian nonparametrics: Dependency and Constraint Modeling
β οΈ Note: TALK via Skype!
Machine Learning @ CUED
Bayesian Nonparametric Model for Power Disaggregation
Machine Learning @ CUED
Probabilistic machine learning for knowledge extraction from videos and text
β οΈ Note venue: LR6
Machine Learning Reading Group @ CUED
An introduction to Sequential Monte Carlo
Machine Learning @ CUED
Frequentist coverage of adaptive nonparametric Bayesian credible sets
NLIP Seminar Series
Categorical compositional distributional semantics: state-of-the-art!
NLIP Seminar Series
Spectral Learning and Decoding for Natural Language Parsing
Machine Learning Reading Group @ CUED
Probabilistic Data Structures and Algorithms
NLIP Seminar Series
GPstruct: Bayesian non-parametric structured prediction model
Machine Learning Reading Group @ CUED
Information Theory and Method of Types: Channels, Quantizers, and Divergences
Machine Learning @ CUED
Anglican; Particle MCMC inference for Probabilistic Programs
Machine Learning @ CUED
Sparse discriminative latent characteristics for predicting cancer drug sensitivity
NLIP Seminar Series
Parsing Jazz: Harmonic Analysis of Music Using Combinatory Categorial Grammar
NLIP Seminar Series
A Standard Document Score for Information Retrieval
Machine Learning Reading Group @ CUED
Integrated Nested Laplace Approximation (INLA)
NLIP Seminar Series
Three Stories on Aggregated Search
NLIP Seminar Series
Learning to Generate Natural Source Code
Machine Learning Reading Group @ CUED
Spectral Learning
NLIP Seminar Series
Data Management, Integration and Retrieval in Life Sciences Using Semantic Web Technology
Machine Learning Reading Group @ CUED
Random Projections
Machine Learning @ CUED
Contrastive Learning Using Spectral Methods
NLIP Seminar Series
BrainNet: Using Brain (and Corpus) Data to Investigate Conceptual Knowledge
Machine Learning Reading Group @ CUED
Herding: Driving Deterministic Dynamics To Learn And Sample Probabilistic Models
Machine Learning Reading Group @ CUED
Bayesian and Bandit Optimization
Machine Learning @ CUED
Nonparametric Bayesian statistics with exchangeable random structures
Machine Learning @ CUED
Dissecting genotype to phenotype relationships
Machine Learning @ CUED
CANCELLED: Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
β οΈ CANCELLED
Machine Learning @ CUED
Clustering Based on Predictive Variances in Gaussian Process Regression Models
NLIP Seminar Series
Chinese CCGbank: Deep derivations and dependencies for Chinese CCG parsing
Machine Learning @ CUED
Non-Parametric Conditional Random Fields in Computer Vision and Image Processing
Machine Learning @ CUED
Higher Order Learning for Classification in Emergency Situations
NLIP Seminar Series
Where did it all go wrong? New Tools for Automatic Error Analysis in NLP
Machine Learning @ CUED
Annealing Between Distributions by Averaging Moments
NLIP Seminar Series
Recursive Deep Learning for Modeling Semantic Compositionality
NLIP Seminar Series
Spicy adjectives and nominal donkeys: Capturing semantic deviance using compositionality in distributional spaces
NLIP Seminar Series
Apposition Extraction and Named Entity Linking
Machine Learning Reading Group @ CUED
Random Forests: One tool for all your problems.
Machine Learning @ CUED
Applied statistical genetics and next-generation association studies
Machine Learning @ CUED
Applied statistical genetics and next-generation association studies
NLIP Seminar Series
Using Grammars in On-line Education: Automatic error correction to improve writing skills
Machine Learning Reading Group @ CUED
Modelling Nonlinear Dynamical Systems
Machine Learning @ CUED
The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process
NLIP Seminar Series
Representing Abstract and Concrete Concepts - Why and When Features should Feature
NLIP Seminar Series
Developing and testing a self-assessment and tutoring system
NLIP Seminar Series
Individual variation and the roles of L1 and proficiency in the L2 development of English grammatical morphemes
Machine Learning Reading Group @ CUED
Adaptive Hamiltonian-based MCMC samplers
jg691's list
Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper
NLIP Seminar Series
Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints
Machine Learning Reading Group @ CUED
Bayesian Nonparametrics in Real-World Applications: Statistical Machine Translation and Language Modelling on Big Datasets
NLIP Seminar Series
Zipf's law and the grammar of languages: A (potential) cross-linguistic measure of syntheticity
Machine Learning @ CUED
Matrix Concentration Inequalities via the Method of Exchangeable Pairs
Machine Learning @ CUED
Deep Gaussian Processes
Machine Learning @ CUED
Approaches to statistical modeling of network data
Machine Learning Reading Group @ CUED
Sparsity: Beyond L1
Machine Learning @ CUED
Bayesian nonparametric methods for non-exchangeable data
Machine Learning Reading Group @ CUED
Reproducing Kernel Hilbert Spaces in Non-parametric Statistics
Machine Learning @ CUED
Non-parametric Bayesian Chromatin State Segmentation
Machine Learning Reading Group @ CUED
An Introduction to Sum Product Networks
Machine Learning @ CUED
Fast Variational Inference in the Conjugate Exponential Family
NLIP Seminar Series
How to Give a Technical Presentation in Computer Science
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning
NLIP Seminar Series
Unsupervised Domain Tuning to Improve Word Sense Disambiguation
Machine Learning Reading Group @ CUED
Probabilistic Programming
Machine Learning @ CUED
An application of HDP And IBP for stream-based action recognition and high dimensional data
Machine Learning @ CUED
Using Context and Insight for the Analysis of LittleData?
Machine Learning Reading Group @ CUED
Machine Learning in Speech Recognition
NLIP Seminar Series
Two Approaches to Grammar Induction: From Plain Text to Semantic Supervision
NLIP Seminar Series
Natural Language Generation as Planning under Uncertainty for Statistical Interactive Systems
Machine Learning Reading Group @ CUED
Fragmentation Coagulation
Machine Learning @ CUED
Feature allocations, probability functions, and paintboxes
NLIP Seminar Series
Distributional Semantics and Kernels
Machine Learning @ CUED
Modelling Reciprocating Relationships with Hawkes Processes
Machine Learning Reading Group @ CUED
Conditional Density Estimation
NLIP Seminar Series
Linguistic Indicators for Estimating the Quality of Machine Translations
Machine Learning Reading Group @ CUED
RCC Planning
Machine Learning Reading Group @ CUED
Discrete Optimization
Machine Learning @ CUED
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
Machine Learning Reading Group @ CUED
Advanced Sampling
Machine Learning Reading Group @ CUED
NIPS Recap
NLIP Seminar Series
What you get is not only what you see! A distributional analysis of semantic features from congenital blind subjects
Machine Learning Reading Group @ CUED
NIPS Recap
NLIP Seminar Series
Machine translation from the user's perspective: what is it good for?
Machine Learning Reading Group @ CUED
Bayesian and Gradient Reinforcement Learning
Machine Learning Reading Group @ CUED
Spectral Clustering
Machine Learning @ CUED
The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes
NLIP Seminar Series
Predict, Price and Cut: Column and Row Generation for Structured Prediction
Machine Learning Reading Group @ CUED
Modern Neural Networks: the Hinton Camp
Machine Learning @ CUED
Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method
NLIP Seminar Series
Compositionality modelling and non-compositionality detection with distributional semantics
Machine Learning Reading Group @ CUED
Distributional compositional models of semantics
NLIP Seminar Series
A fast and simple algorithm for training neural probabilistic language models
Machine Learning @ CUED
Identification of causal effects
Machine Learning @ CUED
Probabilistic methods for biomolecular structure simulations
NLIP Seminar Series
Handling obsolete information in classification: is there a one-size-fits-all strategy?
Machine Learning Reading Group @ CUED
Completely Random Measures in Bayesian Nonparametrics
Computer Laboratory Systems Research Group Seminar
Distributed, Real-Time Bayesian Learning in Online Services
NLIP Seminar Series
A New Twist on Methodologies for ESL Grammatical Error Detection
Machine Learning Reading Group @ CUED
Model selection in a large compositional space
β οΈ note: the first 45 mins will be planning and the talk will start at around 3:15pm
Machine Learning @ CUED
Compressed Sensing Applications in Functional Magnetic Resonance Imaging
Microsoft Research Cambridge, public talks
Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian Inference
β οΈ This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning @ CUED
Multi-Label Learning with Millions of Categories
Machine Learning @ CUED
Efficient Sampling with Kernel Herding
Machine Learning @ CUED
Frank-Wolfe optimization insights in machine learning
Machine Learning @ CUED
Deep learning for vision: a case study for visual textures, and some thoughts on a general framework
Machine Learning @ CUED
Thermodynamics as a Theory of Decision-Making with Information Processing Costs
Machine Learning @ CUED
Human Behavior Classification with Infinite Hidden Conditional Random Fields
Machine Learning @ CUED
Fast Gaussian process learning for regression, semi-supervised classification, and multiway analysis
Machine Learning @ CUED
Non-parametric Bayesian Learning of User Preferences: Elicitation, Sparsification and Beyond
Machine Learning @ CUED
Structured Prediction using Linear Programming Relaxations
NLIP Seminar Series
Data Mining and Information Extraction for CiteSeerX and Friends
NLIP Seminar Series
Fuse Project and Citation Analysis
NLIP Seminar Series
Learning Syntactic Verb Frames Using Graphical Models
Machine Learning Reading Group @ CUED
Dependent normalized random measures
Machine Learning Reading Group @ CUED
GP-BUCB for Spinal Cord Injury Therapy: Batch Active Learning with Applications
Machine Learning @ CUED
Discovery of Complex Behaviors through Contact-Invariant Optimization
NLIP Seminar Series
Following Wisdom in Machine Learning
NLIP Seminar Series
Semi-supervised learning for automatic conceptual property extraction
NLIP Seminar Series
Modelling selectional preferences in a lexical hierarchy
Machine Learning Reading Group @ CUED
On Data (In-)Dependent Hashing
NLIP Seminar Series
Modeling coherence in ESOL learner texts
NLIP Seminar Series
Context-Enhanced Citation Sentiment Detection
Machine Learning Reading Group @ CUED
Poisson Processes: Applications in Machine Learning
NLIP Seminar Series
Repair and adherence in patient-clinician dialogues
Machine Learning Reading Group @ CUED
A rough guide to the Aldous-Hoover representation theorem for exchangeable arrays
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Dirichlet Process Mixture Models and Bayesian Nonparametric Density Estimation
Machine Learning @ CUED
Learning with nonparametric dependence and divergence estimation
NLIP Seminar Series
Beyond Shallow Semantics
Machine Learning @ CUED
Past work and future interests: respectively, the scattering of Anyons and Monte Carlo methods
Machine Learning Reading Group @ CUED
"Structured sparsity and convex optimization"
Machine Learning @ CUED
Non-parametric Bayesian Method and Maximum-A-Posteriori Inference in Statistical Machine Translation
Machine Learning Reading Group @ CUED
Financial Problems tractable to Machine Learning Methods
Machine Learning Reading Group @ CUED
A Predictive Study of Bayesian Nonparametric Regression Models
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Weighted Finite-state Automata
NLIP Seminar Series
Automating Second Language Acquisition Research: Integrating Information Visualisation and Machine Learning
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning Reading Group @ CUED
Topic Modelling
NLIP Seminar Series
Helping computers talk from experience
Machine Learning Reading Group @ CUED
Structural Learning of Dynamic Bayesian Networks
NLIP Seminar Series
Entity-based Models for Discourse Structure
Machine Learning Reading Group @ CUED
Extended ensemble Monte Carlo
Machine Learning @ CUED
Infinite Structured Explicit Duration Hidden Markov Models
Machine Learning Reading Group @ CUED
"Symmetry and sufficiency"
NLIP Seminar Series
Beyond MaltParser -- Recent Advances in Transition-Based Dependency Parsing
NLIP Seminar Series
Automatically Creating Reading Lists with Topical PageRank
Machine Learning @ CUED
Probabilistic computing: computation as universal stochastic inference, not deterministic calculation
NLIP Seminar Series
Bayesian Smoothing for Language Models
Machine Learning Reading Group @ CUED
Information bottleneck
β οΈ Please note the change in time. This RCC will take place at 15:00-16.30pm.
Machine Learning Reading Group @ CUED
Ensemble Methods in Machine Learning
Machine Learning @ CUED
Scaling Machine Learning for the Internet
NLIP Seminar Series
Probabilistic models of similarity and plausibility in context
Machine Learning @ CUED
Bayesian Quadrature for Prediction and Optimisation
NLIP Seminar Series
What is meaning? - Formalising the Distributional Hypothesis
Machine Learning @ CUED
Efficient MCMC for Continuous Time Discrete State Systems
NLIP Seminar Series
Stream-based Statistical Machine Translation
Machine Learning @ CUED
A Maximum Entropy Perspective on Spectral Dimensionality Reduction
Machine Learning Reading Group @ CUED
Approximate Inference in Gaussian Process Models
NLIP Seminar Series
Unsupervised Word Alignment and Part of Speech Induction with Undirected Models
Machine Learning Reading Group @ CUED
Proper local scoring rules
Machine Learning @ CUED
Variational Inference for Non-Conjugate Models
Machine Learning Reading Group @ CUED
Hyper and structural Markov laws for graphical models
NLIP Seminar Series
Biomedical Natural Language Figure Processing
NLIP Seminar Series
Search-based Structured Prediction applied to Biomedical Event Extraction
Machine Learning @ CUED
Not so naive Bayesian classification
Machine Learning @ CUED
Bayesian Nonparametrics: Latent Feature and Prediction Models, and Efficient Inference
NLIP Seminar Series
Better Together: Large Monolingual, Bilingual and Multimodal Corpora in NLP
Machine Learning @ CUED
Machine Learning Markets
NLIP Seminar Series
Learning hard chart constraints for efficient context-free parsing
Machine Learning @ CUED
Factored Shapes and Appearances for Parts-based Object Understanding AND Transformation Equivariant Boltzmann Machines
Machine Learning @ CUED
Optimal Reinforcement Learning for Gaussian Systems
Machine Learning @ CUED
Exclusive PΓ³lya Urns and their applications
Machine Learning @ CUED
Approximate Bayesian Inference for Large Scale Inverse Problems: A Computational Viewpoint
NLIP Seminar Series
Graph-Based Methods for Large-Scale Multilingual Knowledge Integration
NLIP Seminar Series
A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents
Machine Learning @ CUED
Some Practical Reflections on Graphical Models
Machine Learning @ CUED
Beyond Keyword Search: Discovering Relevant Scientific Literature
Machine Learning @ CUED
Graphical Models for Bandit Problems
Machine Learning @ CUED
Bayesian regression and classification with multivariate sparsifying priors
NLIP Seminar Series
A New Dataset and Method for Automatically Grading ESOL Texts
Machine Learning @ CUED
An FX trading system using adaptive reinforcement learning
β οΈ (rescheduled from May 24th)
NLIP Seminar Series
Unsupervised Entailment Detection between Dependency Graph Fragments
NLIP Seminar Series
Language in 3D: semantic tensor space
Machine Learning @ CUED
Censored Exploration in Dark Pools
Machine Learning Reading Group @ CUED
Connections between Gaussian Process Regression, Kalman filtering and RTS Smoothing
Machine Learning @ CUED
An FX trading system using adaptive reinforcement learning
β οΈ RESCHEDULED FOR JUNE 7th
NLIP Seminar Series
Minimum Bayes-Risk Lattice Rescoring Methods for Statistical Machine Translation
Machine Learning Reading Group @ CUED
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
NLIP Seminar Series
To what extent does the acquisition of conceptual categories depend on language?
Machine Learning Reading Group @ CUED
Expectation Propagation for POMDP Spoken Dialogue Models
NLIP Seminar Series
Accurate CCG Parsing with Approximate Language Intersection and Task-specific Optimization
Machine Learning @ CUED
Characterization of the Ewens-Pitman family of random partitions by a deletion property and a de Finetti-type theorem for exchangeable hierarchies
Machine Learning @ CUED
Nonlinear Dynamics of Learning
Machine Learning Reading Group @ CUED
Exchangeability
Machine Learning @ CUED
Exponential Conditional Volatility Models
NLIP Seminar Series
Relational-Realizational Syntax: An Architecture for Describing and Parsing Rich Morphosyntactic Descriptions
Machine Learning Reading Group @ CUED
Deep Belief Networks for Phone Recongition
Machine Learning @ CUED
Challenges in implementing the Bayesian paradigm
NLIP Seminar Series
Surprisingly Efficient Parsing for a Wide-Coverage Lexicalised-Grammar Parser
Machine Learning @ CUED
Expectation Propagation in Sparse Linear Models with Spike and Slab Priors
Machine Learning @ CUED
Probabilistic matrix factorization for reconstruction of missing data
Machine Learning Reading Group @ CUED
The effect of normalization -- a case study in speech synthesis
NLIP Seminar Series
Categorical Compositionality for Distributional Semantics, Without Tears
Machine Learning @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Post-NIPS Highlight session
NLIP Seminar Series
Automatic speech act identification in business emails
Machine Learning Reading Group @ CUED
Optimal weighted nearest neighbour classifiers
Machine Learning Reading Group @ CUED
Kernel Methods
Machine Learning Reading Group @ CUED
Machine Learning techniques in computer vision applications
Machine Learning @ CUED
Differential Geometric MCMC Methods
Machine Learning Reading Group @ CUED
Infinite multiple relational models for complex networks
Machine Learning @ CUED
Mining viral datasets
Machine Learning Reading Group @ CUED
Completely Random Measures
Machine Learning @ CUED
Universal Bayesian Agents: Theory and Applications
Machine Learning @ CUED
Machine learning in cancer research (a.k.a CRI meets CUED)
β οΈ (note new date)
Machine Learning @ CUED
Novi Quadrianto
Machine Learning Reading Group @ CUED
Submodularity for Machine Learning
Machine Learning @ CUED
Learning item trees for collaborative filtering with implicit feedback
NLIP Seminar Series
Towards a Stochastic Model of Linguistic Competence
Machine Learning @ CUED
Non-Smooth-Norm Image Reconstruction from Noisy Data
Machine Learning Reading Group @ CUED
NIPS Highlight Session
NLIP Seminar Series
Two robust semi-supervised learning algorithms for natural language processing
Machine Learning Reading Group @ CUED
Poisson Processes
Machine Learning @ CUED
Crowdsourcing data modelling
Semantics Lunch (Computer Laboratory)
A Language for Mathematics
NLIP Seminar Series
Event Extraction from Biomedical Texts by Trimming Dependency Graphs
Machine Learning Reading Group @ CUED
Convex Optimisation
Machine Learning @ CUED
Short talks: Mixed Cumulative Distribution Networks; Nonparametric Bayesian community discovery in social networks; Expectation Propagation for Dirichlet Process Mixture Models
Machine Learning Reading Group @ CUED
An Introduction to Bayesian Statistics
NLIP Seminar Series
ACS project presentations
NLIP Seminar Series
BioCaster 2.0: Online text analysis for early alerting of disease outbreaks
NLIP Seminar Series
Patent Search: a challenging problem for IR and NL
Machine Learning Reading Group @ CUED
Herding or a '3rd way to learn'
NLIP Seminar Series
Open Problems for Literary Text Generation in the WASP System
Machine Learning Reading Group @ CUED
Advanced Scientific Programming in Python
Machine Learning Reading Group @ CUED
Unsupervised Grammar Induction
NLIP Seminar Series
A Fast Decoder for Joint Word Segmentation and POS-Tagging using a Single Discriminative Model
NLIP Seminar Series
Practical Linguistic Steganography using Contextual Synonym Substitution and Vertex Colour Coding
Machine Learning @ CUED
Searching for Knowledge Instead of Web Pages
Machine Learning @ CUED
Bayesian Inference with Kernels
NLIP Seminar Series
Semantics, Text, and Biomedical Knowledge Discovery: Challenges and Opportunities
Machine Learning @ CUED
On the Equivalence of Graph Cuts and Max-product Belief Propagation
Machine Learning @ CUED
Culture wars, voting and polarization: divisions and unities in modern American politics
β οΈ general audience talk (non-technical) -- NOTE change of room to LR4!
Machine Learning @ CUED
Creating structured and ο¬exible models: some open problems
NLIP Seminar Series
Evaluation of Dependency Parsers on Unbounded Dependencies
Machine Learning @ CUED
Efficient Bayesian analysis of multiple changepoint models
Machine Learning @ CUED
Learning Common Grammar from Multilingual Corpus / Online Multiscale Dynamic Topic Models
Machine Learning @ CUED
Scalable Parallel Computing with CUDA
Machine Learning @ CUED
Using transformed domains to sparsify Gaussian Processes
NLIP Seminar Series
Models of Metaphor in NLP
Machine Learning @ CUED
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
NLIP Seminar Series
Latent Variable Models of Selectional Preference
NLIP Seminar Series
Natural mathematical language for the computer
NLIP Seminar Series
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
NLIP Seminar Series
Log-linear models with hidden features for label and link prediction
Machine Learning @ CUED
Natural Conjugate Gradient Learning for Fixed-Form Variational Bayes
Machine Learning @ CUED
Sparse Factor Analysis Applied to Three Biological Problems
Machine Learning @ CUED
Using topic models to help cure cancer
Machine Learning Reading Group @ CUED
Structured Learning and Structural SVMs
Machine Learning @ CUED
Structured Prediction Cascades
Machine Learning @ CUED
Parametric Bandits, Query Learning, and the Haystack Dimension
Machine Learning Reading Group @ CUED
Conditional Random Fields : Theory and Application
NLIP Seminar Series
Automatic Metaphor Interpretation as a Paraphrasing Task
NLIP Seminar Series
Linguistic Steganography using Automatically Generated Paraphrases
Machine Learning Reading Group @ CUED
Topics in Statistical Machine Translation
NLIP Seminar Series
Enhancing NLP with Knowledge: Ontology-Based Information Retrieval for Handwritten Text
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning Reading Group @ CUED
Bundle methods and its application in machine learning
Machine Learning Reading Group @ CUED
Sparsification for Gaussian Processes for Regression
Machine Learning @ CUED
Slice sampling with latent Gaussian models
NLIP Seminar Series
Latent TAG Derivations for Semantic Role Labeling
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning @ CUED
Dynamic Network Tomography: Model, Algorithm, Theory, and Application
Machine Learning @ CUED
Making Sense of Data - A Research Agenda
Machine Learning @ CUED
Subspace Codes for Adversarial Error-Correction in Network Coding
β οΈ short talk
Machine Learning @ CUED
Bayesian Inference in Networks of Queues
Machine Learning @ CUED
Stochastic Outlier Selection
NLIP Seminar Series
Metaphor in language, thought, and communication
NLIP Seminar Series
Subjectivity Recognition on Word Senses
Machine Learning Reading Group @ CUED
Title to be confirmed
NLIP Seminar Series
Making the World's Scientific Information (More) Organized, Accessible, and Usable
Machine Learning Reading Group @ CUED
Semi supervised learning
NLIP Seminar Series
Learnable representations for natural language
Machine Learning Reading Group @ CUED
Variational inference in graphical models: The view from the marginal polytope
Machine Learning @ CUED
Mind Reading by Machine Learning: Optimal Experimental Design
β οΈ Short talk
NLIP Seminar Series
The Web as an Implicit Training Set: Application to Noun Compounds' Syntax and Semantics
Machine Learning Reading Group @ CUED
The Fractional Belief Propagation menace
NLIP Seminar Series
A Bottom-up Approach to Sentence Ordering for Multi-document Summarization
Machine Learning Reading Group @ CUED
(Canceled) A Causal Calculus for Statistical Research
β οΈ Canceled
Machine Learning @ CUED
Machine Learning Course (4F13)
β οΈ 4F13 course - repeats Wed, Thurs at 10am during Lent
Machine Learning Reading Group @ CUED
RCC Planning Meeting
Machine Learning @ CUED
Machine Learning Course (4F13)
β οΈ 4F13 course - repeats Wed, Thurs at 10am during Lent
NLIP Seminar Series
Learning to Follow Orders: Reinforcement Learning for Mapping Instructions to Actions
Machine Learning Reading Group @ CUED
Unbounded-depth hierarchical Pitman-Yor processes
NLIP Seminar Series
Inducing Synchronous Grammars for Machine Translation
NLIP Seminar Series
Making Computer Science more Social: Speed Dating and the History of Science
Machine Learning Reading Group @ CUED
Learning rates in Bayesian nonparametrics
Machine Learning @ CUED
Indian Buffet Processes with Power-law Behaviour
NLIP Seminar Series
Semiring Parsing without Parsing
Machine Learning @ CUED
Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection
NLIP Seminar Series
Fine-grained sentiment analysis in text and multi-party conversation
Machine Learning Reading Group @ CUED
Bayesian Agglomerative Clustering with Coalescents
Machine Learning @ CUED
KL control theory and decision making under uncertainty
Machine Learning Reading Group @ CUED
Machine Learning RCC - Bayesian Agglomerative Clustering with Coalescents, Teh, DaumΓ© and Roy, NIPS 2007
Machine Learning Reading Group @ CUED
Filtering of Noisy Time-Series Data
Machine Learning Reading Group @ CUED
Speed Reviewing
Machine Learning @ CUED
Information theoretic model selection in clustering
NLIP Seminar Series
Bayesian non-parametric models for parsing and translation
Machine Learning Reading Group @ CUED
High-dimensional variable selection via sure independence screening
NLIP Seminar Series
Ontology Learning for Portuguese
Machine Learning Reading Group @ CUED
Ensemble Methods in Machine Learning
Machine Learning @ CUED
Motor Skills Learning for Robotics
Machine Learning Reading Group @ CUED
Structured prediction using energy-based models
Machine Learning Reading Group @ CUED
Technical Writing II
Machine Learning @ CUED
Coconut: Optimizing computations for machine learning
Machine Learning @ CUED
Convex Variational Bayesian Inference for Large Scale Generalized Linear Models
NLIP Seminar Series
Clitic Pregroups: in search for a uniform pattern of clitic movement in natural languages
Machine Learning @ CUED
Computable Probability Theory
NLIP Seminar Series
Unbounded Dependency Recovery for Parser Evaluation
NLIP Seminar Series
A Proposal on Evaluation Measures for RTE
Machine Learning Reading Group @ CUED
Hessian-based Markov-Chain Monte Carlo Algorithms
NLIP Seminar Series
Portuguese Text Simplification for Digital Inclusion and Accessibility
Machine Learning Reading Group @ CUED
Slice Sampling
NLIP Seminar Series
Extending a Surface Realizer to Generate Coherent Discourse
NLIP Seminar Series
Mildly non-projective dependency parsing: algorithms and applications
NLIP Seminar Series
Cycling to Enrich and Enhance Dictionary Glosses
Machine Learning @ CUED
Using gradient descent for optimization and learning
NLIP Seminar Series
Processing Geographic Language
Machine Learning Reading Group @ CUED
Technical Writing
NLIP Seminar Series
Towards automated understanding of scientific papers
Machine Learning Reading Group @ CUED
Divergence measures and message passing
NLIP Seminar Series
BioNLP 2009 event detection task
Machine Learning Reading Group @ CUED
The IBM approach to speech separation
Machine Learning Reading Group @ CUED
Parsing Images the UCLA Way
Machine Learning Reading Group @ CUED
Hilbert space embedding of probability distributions
Machine Learning @ CUED
Learning from Measurements in Exponential Families
Machine Learning Reading Group @ CUED
Bregman Divergences and Machine Learning
Machine Learning @ CUED
Shrinkage regression for multivariate inference with missing data, with an application to portfolio balancing
Machine Learning @ CUED
Quasi-linear Sensor Management
NLIP Seminar Series
Disambiguation of Biomedical Text
Machine Learning Reading Group @ CUED
The Convex Concave Procedure
NLIP Seminar Series
A Tale of Two Parsers: investigating and combining graph-based and transition-based dependency parsing using beam-search
Machine Learning Reading Group @ CUED
Hybrids of Generative and Discriminative Models (Cont)
NLIP Seminar Series
Dialogue Act Prediction Using Stochastic Context-Free Grammar Induction
Machine Learning @ CUED
Generalization in Learning
Machine Learning Reading Group @ CUED
Large Margin Training of Hidden Markov Models
Machine Learning @ CUED
Stochastic control as an inference problem
Machine Learning Reading Group @ CUED
Hybrid of Generative and Discriminative Models
NLIP Seminar Series
ASKNet: Creating and Evaluating Large Scale Integrated Semantic Networks
Machine Learning Reading Group @ CUED
Divergence measures and message passing - CANCELLED
β οΈ Canceled
Machine Learning @ CUED
Extending the Affinity Propagation Model
NLIP Seminar Series
Almost-unsupervised multilingual sentiment analysis
Machine Learning Reading Group @ CUED
Distributed Computing for Machine Learning
Machine Learning Reading Group @ CUED
A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
Machine Learning @ CUED
The Block Diagonal Infinite Hidden Markov Model
Machine Learning @ CUED
Probabilistic Graph Models for Debugging Software
Machine Learning Reading Group @ CUED
Probabalistic Inference for solving (PO)MDPs
Machine Learning @ CUED
HMMs for Protein Sequencing from Mass Spectrometry Data
Machine Learning Reading Group @ CUED
NIPS Offline Conference
Machine Learning @ CUED
Mondrian Processes
Machine Learning Reading Group @ CUED
An Introduction to Relational Learning
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning in Continuous POMDPs
Machine Learning @ CUED
Hardness Ratios
NLIP Seminar Series
Learning to Adapt in Dialogue Systems: Data-driven Models for Personality Recognition and Generation
Machine Learning Reading Group @ CUED
Cluster Analysis of Heterogeneous Rank Data
NLIP Seminar Series
Adapting a WSJ-trained Lexicalized-Grammar Parser to New Domains
Machine Learning Reading Group @ CUED
Gaussian Process Latent Variable Models
Machine Learning @ CUED
Consensus finding, exponential models and infinite rankings
Machine Learning Reading Group @ CUED
Point Process Intensity Estimation with GP's
NLIP Seminar Series
Infinite Hidden Markov Models and Applications in NLP
Machine Learning Reading Group @ CUED
Knows What It Knows: A Framework For Self-Aware Learning
Machine Learning @ CUED
Foundations of Nonparametric Bayesian Methods (Part III)
NLIP Seminar Series
Statistical anaphora resolution in biomedical texts
Machine Learning Reading Group @ CUED
Approximating the Kullback-Leibler Divergence Between GMMs
Machine Learning @ CUED
Efficient Sequential Monte Carlo Inference for Kingman's Coalescent
β οΈ Note unusual time
Machine Learning @ CUED
Context in human robot interaction
NLIP Seminar Series
CANCELLED- NLIP SEMINAR 17th OCTOBER
Machine Learning @ CUED
Foundations of Nonparametric Bayesian Methods (Part II)
Machine Learning Reading Group @ CUED
To Naive Bayes or to Logistically Regress: That is the Question
Machine Learning @ CUED
Foundations of Nonparametric Bayesian Methods (Part I)
Machine Learning @ CUED
Shared Segmentation of Natural Scenes using Dependent Pitman-Yor Processes
Machine Learning Reading Group @ CUED
Condition Monitoring
Machine Learning @ CUED
Spoken Dialogue Management
Machine Learning @ CUED
A Bayesian approach to language learning
Machine Learning @ CUED
Learning Bigrams from Unigrams
Machine Learning Reading Group @ CUED
Levy Processes
Machine Learning @ CUED
Nonparametric Bayesian Natural Language Model Domain Adaptation: A Hierarchical, Hierarchical Pitman-Yor Process Language Model
Machine Learning @ CUED
Bayesian approaches to autonomous Bayesian real-time learning
Machine Learning Reading Group @ CUED
The War on Loops
Machine Learning @ CUED
Non-negative matrix factorization with Gaussian process priors
Machine Learning @ CUED
Matrix Factorization and Relational Learning
Machine Learning @ CUED
Double Feature: Optimal Precoding for MIMO and Divergence Estimation for Continuous Distributions
Machine Learning @ CUED
Nonparametric Bayesian Learning of Switching Dynamical Systems
Machine Learning @ CUED
Message-passing inference on graphical models
NLIP Seminar Series
Nobody Writes Letters Anymore: Helping people make sense of historically significant email collections
Machine Learning Reading Group @ CUED
Variational Bayesian Mixtures of Gaussians
Machine Learning @ CUED
Bayesian analysis of complex biological systems
NLIP Seminar Series
Fuzzy Logic: Fading Hype or Technology of the Future?
Machine Learning @ CUED
Variational inference for partially observed diffusion processes
Machine Learning @ CUED
Assessing high-dimensional latent variable models
NLIP Seminar Series
Multiword Expressions: Evaluation of Extraction Methods and their Impact on Grammar Engineering
Machine Learning @ CUED
Identification of dynamical subpopulations, optimal experiment design and more
Machine Learning Reading Group @ CUED
Stochastic integration and Ito's lemma
Machine Learning @ CUED
H-Infinity Clustering
Machine Learning @ CUED
Sustainable Energy - without the hot air
Machine Learning Reading Group @ CUED
Continuous Time Bayesian Networks
NLIP Seminar Series
A maximum entropy approach to preposition and determiner selection
Machine Learning @ CUED
Modeling Behaviour in Economic Games using Game-Theoretic POMDPs
Machine Learning @ CUED
Talking with Robots: A Case Study in Architectures for Cognitive Robotics
NLIP Seminar Series
Error-Aware Probabilistic Parsing
Machine Learning @ CUED
An Introduction to Statistical Learning Theory
β οΈ Machine Learning Tutorial Lecture
Machine Learning @ CUED
Beam Sampling for Infinite Hidden Markov Models
Machine Learning @ CUED
Learning quantum physics
Machine Learning @ CUED
Convergence analysis of the EM algorithm and joint minimization of free energy
Machine Learning @ CUED
Discriminative Methods with Structure
NLIP Seminar Series
Computer-generated Cryptic Crossword Clues: exploring creative NLG
Machine Learning Reading Group @ CUED
'All of Nonparametric Statistics'
Machine Learning @ CUED
A Bayesian approach to network modularity: inferring the structure and scale of modular networks
NLIP Seminar Series
Applications of Discourse Structure for Spoken Dialogue Systems
Machine Learning Reading Group @ CUED
The Information Bottleneck / Dynamic Kernals for speaker verification
Machine Learning @ CUED
Model selection and model order adaptation for clustering
Machine Learning @ CUED
Expectation Propagation, Experimental Design for the Sparse Linear Model
Machine Learning @ CUED
Biomedical Image Search
NLIP Seminar Series
Monte Carlo Semantics: Robust Inference and Logical Pattern Processing Based on
Machine Learning Reading Group @ CUED
Probabilistic Matrix Factorization/Deep Belief Nets
Machine Learning Reading Group @ CUED
Title to be confirmed
Machine Learning @ CUED
Stable distribution and data sketching
NLIP Seminar Series
Learning to Classify Noun-Noun Semantic Relations
Machine Learning Reading Group @ CUED
Spectral methods
Machine Learning @ CUED
Reinforcement Learning
β οΈ Machine Learning Tutorial Lecture (Note unusual day)
NLIP Seminar Series
Annotating Genericity: How Do Humans Decide?- A Case Study in Ontology Extraction
Machine Learning Reading Group @ CUED
Active Learning
Machine Learning @ CUED
Modeling Science: Topic models of Scientific Journals and Other Large Document Collections
Machine Learning @ CUED
Sparse Gaussian Process in Disease Mapping
Machine Learning Reading Group @ CUED
Bayesian Adaptive Inference and Adaptive Training
Machine Learning @ CUED
Gene Regulatory Network Inference: A Kernel-Based Learning Approach
NLIP Seminar Series
A Rebel Alliance in Babel's Aftermath: Combining rules and probabilities in machine translation
Machine Learning Reading Group @ CUED
Hierarchical Dirichlet Processes
Machine Learning @ CUED
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
NLIP Seminar Series
Kernels for graph comparison
Machine Learning @ CUED
Machine Learning Applications / Challenges in Natural Language Parsing
β οΈ Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED
Bayesian Reinforcement Learning
Machine Learning Reading Group @ CUED
Transductive and Semi-Supervised Learning
Machine Learning @ CUED
An overview of covariance operators in Hilbert space, and their applications
Machine Learning @ CUED
Optimal Control and Reinforcement Learning with Gaussian Process Models
Machine Learning Reading Group @ CUED
Variational inference and exponential families
Machine Learning Reading Group @ CUED
Sparse Bayesian Linear Models
NLIP Seminar Series
Analysing biomedical text with the Stanford dependency grammar
Machine Learning @ CUED
Hidden Common Cause Relations in Relational Learning
NLIP Seminar Series
Random Walks on the Click Graph
Machine Learning Reading Group @ CUED
Autonomous Agents under Operational Closure
Machine Learning @ CUED
Optimal Spreading Sequences for Chaos-Based Communication Systems; Using CSK as a Case Study
Machine Learning @ CUED
Graph Kernels for Data Mining
Machine Learning @ CUED
Geometric Algorithms for Linear Independent Component Analysis
Machine Learning @ CUED
Covariate Shift Adaptation: Supervised Learning When Training and Test Inputs Have Different Distributions
Machine Learning Reading Group @ CUED
Kingman's coalescent, non-parametric Bayesian agglomerative clustering, and ICML 2007
NLIP Seminar Series
The ILIAD Project: Language Technology Meets Linux Troubleshooting
Machine Learning Reading Group @ CUED
Sensible priors from finite linear models
β οΈ Note unusual time
Machine Learning Reading Group @ CUED
Statistical Models for Partial Membership
NLIP Seminar Series
Annotating and Learning Compound Noun Semantics
NLIP Seminar Series
Annotation of Chemical Named Entities
NLIP Seminar Series
Semantic enrichment of journal articles using chemical named entity recognition
NLIP Seminar Series
Semi-supervised Training of a Statistical Parser from Unlabeled Partially-bracketed Data
Machine Learning Reading Group @ CUED
Infinite ICA and Information Retrieval
Machine Learning Reading Group @ CUED
Overlapping Clusters and 4th-year Projects
Machine Learning Reading Group @ CUED
What can Gaussian Processes do for Reinforcement Learning?
Machine Learning Reading Group @ CUED
System Conditioning vs Explicit Bayes Inference, and Collaborative LDA
Machine Learning Reading Group @ CUED
Affinity Propagation and Hierarchical Beta Processes
β οΈ Room changed, Note unusual time
NLIP Seminar Series
Term Mining in Biomedicine
Machine Learning Reading Group @ CUED
Optimal Learning
Machine Learning Reading Group @ CUED
Gaussian Approximations for Binary Gaussian Process Classification, and Hidden Topic Markov Models
Machine Learning Reading Group @ CUED
Function Approximation in MDPs
Machine Learning Reading Group @ CUED
Change Point Problems in Linear Dynamical Systems
β οΈ Postponed (originally April 5)
Machine Learning Reading Group @ CUED
GP-LVMs
Machine Learning Reading Group @ CUED
Topics in Convex Optimisation
Machine Learning @ CUED
Logistic Regression with a Laplacian prior on the Eigenvalues: Convex duality and application to EEG classification
β οΈ Note different room and time
Machine Learning Reading Group @ CUED
An Introduction to Generalized Ensemble MCMC for Machine Learning
Machine Learning @ CUED
Dirichlet Processes and Hierarchical Dirichlet Processes
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED
Some NIPS papers
Machine Learning @ CUED
An Introduction to Non-parametric Bayesian Methods
β οΈ Room changed this week!
Machine Learning Reading Group @ CUED
Universal Artificial Intelligence, and Probability Monads
Machine Learning Reading Group @ CUED
Neural Networks
Machine Learning Reading Group @ CUED
Latent Dirichlet Allocation and Dirichlet Diffusion Trees
Machine Learning @ CUED
Robot Localisation and Mapping
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED
Non-parametric mixture models
Machine Learning Reading Group @ CUED
Active Learning and Experimental Design
β οΈ Note unusual time
Machine Learning Reading Group @ CUED
Collaborative Filtering
NLIP Seminar Series
Generating appropriate referring expressions in news summaries
Machine Learning Reading Group @ CUED
On Choosing Priors
NLIP Seminar Series
Generation of Referring Expressions: Evaluating some standard algorithms
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
NLIP Seminar Series
Evaluating Centering for Information Ordering using Corpora
Machine Learning Reading Group @ CUED
Nonlinear Dimensionality Reduction
NLIP Seminar Series
Fuzzy Language Models and Closed Domain Question Answering using Fuzzy Semantics
Machine Learning Reading Group @ CUED
Machine Learning Reading Group in Engineering Department
NLIP Seminar Series
The Weakest Link: Detecting and Correcting Errors in Learner English
Machine Learning @ CUED
Gaussian Processes for Machine Learning
β οΈ Advanced Machine Learning Tutorial Lecture
NLIP Seminar Series
Acquiring Ontological Relationships from Wikipedia Using RMRS
β οΈ Short talk (20 minutes) to be presented at International Semantic Web Conference workshop
NLIP Seminar Series
Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler
NLIP Seminar Series
Multiple Instance Learning for Natural Language Tasks
Machine Learning @ CUED
Mixture Models and the EM Algorithm
β οΈ Advanced Machine Learning Tutorial Lecture
Machine Learning @ CUED
Probabilistic Dimensional Reduction with the Gaussian Process Latent Variable Model
Please see above for contact details for this list.