conftrace_

markov chain monte carlo

725 papers

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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

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Human Re-identification by Matching Compositional Template with Cluster Sampling ICCV 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Learning Stochastic Inverses NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013
Sparse Single-Index Model JMLR 2013
Inferring "Dark Matter" and "Dark Energy" from Videos ICCV 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Top-down particle filtering for Bayesian decision trees ICML 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Computing the Stationary Distribution Locally NIPS 2013
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
Recovering Networks from Distance Data ACML 2012
Bayesian Quadrature for Ratios AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Statistical Models for Exploring Individual Email Communication Behavior ACML 2012
Repulsive Mixtures NIPS 2012