Bayesian & Probabilistic

Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012 The Perturbed Variation NeurIPS 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Unsupervised Structure Discovery for Semantic Analysis of Audio NeurIPS 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011 A blind sparse deconvolution method for neural spike identification NeurIPS 2011 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 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 Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011