Bayesian Inference

Small-Variance Asymptotics for Exponential Family Dirichlet Process 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 Subset Infinite Relational Models AISTATS 2012 The Bethe Partition Function of Log-supermodular Graphical Models 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 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Variational Bayesian Matching ACML 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 A Bayesian Approximation Method for Online Ranking JMLR 2011 A blind sparse deconvolution method for neural spike identification NeurIPS 2011 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 A conditional game for comparing approximations AISTATS 2011 A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011