conftrace_

markov chain monte carlo

725 papers

Explore in graph

Also known as

MCMC

Co-occurring keywords

bayesian inference (1907) variational inference (2069) langevin dynamics (128) hamiltonian monte carlo (92) gibbs sampling (201) stochastic gradient (296) mcmc sampling (70) mixing time (70) sampling algorithm (130) gaussian process (1200)

Papers

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Copula Processes NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
Learning Non-Stationary Dynamic Bayesian Networks JMLR 2010
Dependent Indian Buffet Processes AISTATS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices NIPS 2010
Inference and Learning in Networks of Queues AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
Elliptical slice sampling AISTATS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Bayesian Belief Polarization NIPS 2009
Gaussian process regression with Student-t likelihood NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Spatial Normalized Gamma Processes NIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009