← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Markov Chain Monte Carlo

142 directly classified papers

Papers per year

Papers

Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Accelerated Adaptive Markov Chain for Partition Function Computation NIPS 2011
Query-Aware MCMC NIPS 2011
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
The rat as particle filter NIPS 2007
Markov Chain Monte Carlo with People NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Bayesian Ensemble Learning NIPS 2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NIPS 2006