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Yee Whye Teh, Zoubin Ghahramani.
Thursday 05 July 2007, 13:00-15:00
5th floor meeting room, Engineering Department
Contact: No managers listed
0 upcoming talks View 25 archived talks
Machine Learning Reading Group @ CUED
Kingman's coalescent, non-parametric Bayesian agglomerative clustering, and ICML 2007
Machine Learning Reading Group @ CUED
Sensible priors from finite linear models
⚠️ Note unusual time
Machine Learning Reading Group @ CUED
Statistical Models for Partial Membership
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
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
⚠️ Postponed (originally April 5)
Machine Learning Reading Group @ CUED
GP-LVMs
Machine Learning Reading Group @ CUED
Topics in Convex Optimisation
Machine Learning Reading Group @ CUED
An Introduction to Generalized Ensemble MCMC for Machine Learning
Machine Learning Reading Group @ CUED
Some NIPS papers
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 Reading Group @ CUED
Non-parametric mixture models
Machine Learning Reading Group @ CUED
Collaborative Filtering
Machine Learning Reading Group @ CUED
On Choosing Priors
Machine Learning Reading Group @ CUED
Partially Observable Markov Decision Processes (POMDPs)
Machine Learning Reading Group @ CUED
Nonlinear Dimensionality Reduction
Machine Learning Reading Group @ CUED
Machine Learning Reading Group in Engineering Department
Please see above for contact details for this list.