mcmc sampling

Diagonal Orthant Multinomial Probit Models AISTATS 2013 Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Slice Sampling Particle Belief Propagation ICCV 2013 Topology-Constrained Layered Tracking with Latent Flow ICCV 2013 Bayesian Classifier Combination AISTATS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 Gaussian process modulated renewal processes NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NeurIPS 2011 Dependent Indian Buffet Processes AISTATS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Gaussian sampling by local perturbations NeurIPS 2010 Parallelizable Sampling of Markov Random Fields AISTATS 2010 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 Efficient Inference in Phylogenetic InDel Trees NeurIPS 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008