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

Gaussian Approximation of Collective Graphical Models ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ICML 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Efficient Continuous-Time Markov Chain Estimation ICML 2014
Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Hamiltonian Monte Carlo Without Detailed Balance ICML 2014
A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014
Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013
Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013
Flexible sampling of discrete data correlations without the marginal distributions NIPS 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
Generalized Random Utility Models with Multiple Types NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013