bayesian inference

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Inference on networks of mixtures for robust robot mapping RSS 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012 Putting Bayes to sleep NeurIPS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Repulsive Mixtures NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NeurIPS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NeurIPS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Additive Gaussian Processes NeurIPS 2011 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 Approximate inference for the loss-calibrated Bayesian AISTATS 2011