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

Deep Poisson Factor Modeling NIPS 2015
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NIPS 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NIPS 2015
Measuring Sample Quality with Stein's Method NIPS 2015
Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015
Sampling from Probabilistic Submodular Models NIPS 2015
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
Learning Fast-Mixing Models for Structured Prediction ICML 2015
Parallelizing MCMC with Random Partition Trees NIPS 2015
Subgraph Matching Using Compactness Prior for Robust Feature Correspondence CVPR 2015
Joint Inference of Groups, Events and Human Roles in Aerial Videos CVPR 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
Finite-Time Analysis of Projected Langevin Monte Carlo NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
Fast Mixing for Discrete Point Processes COLT 2015
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015
MCMC for Variationally Sparse Gaussian Processes NIPS 2015
Inference for determinantal point processes without spectral knowledge NIPS 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015