sequential monte carlo

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Ancestor Sampling for Particle Gibbs NeurIPS 2012 Entangled Monte Carlo NeurIPS 2012 Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 The rat as particle filter NeurIPS 2007 Conditional mean field NeurIPS 2006