Bayesian Inference

Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013 Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013 Thurstonian Boltzmann Machines: Learning from Multiple Inequalities ICML 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013 Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction CVPR 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Adaptive MCMC with Bayesian Optimization AISTATS 2012 Adaptive Metropolis with Online Relabeling AISTATS 2012 A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012 Affine Independent Variational Inference NeurIPS 2012 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012