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

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling AAAI 2019
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS) AAAI 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019
SMOGS: Social Network Metrics of Game Success AISTATS 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019
Adaptive MCMC via Combining Local Samplers AISTATS 2019
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models AISTATS 2019
Stein Point Markov Chain Monte Carlo ICML 2019
Online sampling from log-concave distributions NIPS 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions NIPS 2019
A Contrastive Divergence for Combining Variational Inference and MCMC ICML 2019
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions ICML 2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior ICML 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 2019
A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes ICML 2019
Replica Conditional Sequential Monte Carlo ICML 2019
Accelerated Flow for Probability Distributions ICML 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019
Metropolis-Hastings Generative Adversarial Networks ICML 2019
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NIPS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
Gradient-based Adaptive Markov Chain Monte Carlo NIPS 2019
Parameter elimination in particle Gibbs sampling NIPS 2019