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mcmc sampling

70 papers

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Co-occurring keywords

markov chain monte carlo (725) bayesian inference (1907) hamiltonian monte carlo (92) mixing time (70) energy-based model (251) posterior inference (138) markov chain (207) riemannian manifold (169) determinantal point process (140) gibbs sampling (201)

Papers

Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Bayesian Classifier Combination AISTATS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
Gaussian sampling by local perturbations NIPS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Dependent Indian Buffet Processes AISTATS 2010
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NIPS 2009
Efficient Inference in Phylogenetic InDel Trees NIPS 2008
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008