Adrian Weller

Name:	Adrian Weller
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	6 Sep 2023, 7:02 a.m.

Public lists managed by Adrian Weller

• Machine Learning @ CUED

Talks given by Adrian Weller

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• The limits of MAP inference by MWSS on perfect graphs

Talks organised by Adrian Weller

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Adrian Weller actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Deep Reinforcement Learning for Multi-Agent Interaction
• Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks
• Game Playing Meets Game Theory: Strategic Learning from Simulated Play
• Robust Deep Learning Under Distribution Shift
• Information Consumption on Social Media: Efficiency, Trust, and Divisiveness
• Global model explainability via aggregation
• Robust machine learning for causal inference in health care
• Gauge Equivariant Convolutional Networks on Manifolds
• Fairness for Sequential Decision Making Algorithms
• Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms
• Interpretability - the myth, questions, and some answers
• Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
• Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
• Algorithmic Glass Ceiling in Social Networks
• Algorithmic Glass Ceiling in Social Networks
• Learning to Learn without Gradient Descent by Gradient Descent
• Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making
• Understanding Black-box Predictions via Influence Functions
• Learning with limited supervision
• A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings
• Interpretable and interactive machine learning
• MLE-Struct: Bethe Learning of Graphical Models
• The geometry of uncertainty
• General Reinforcement Learning