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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

Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020
Nonparametric graphical model for counts JMLR 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization NIPS 2020
Asynchronous Gibbs Sampling AISTATS 2020
Stochastic Stein Discrepancies NIPS 2020
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NIPS 2020
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NIPS 2020
Towards Scalable Bayesian Learning of Causal DAGs NIPS 2020
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NIPS 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models NIPS 2020
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks NIPS 2020
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Asymptotically Optimal Exact Minibatch Metropolis-Hastings NIPS 2020
Stochastic Normalizing Flows NIPS 2020
Likelihood-free MCMC with Amortized Approximate Ratio Estimators ICML 2020
Involutive MCMC: a Unifying Framework ICML 2020
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020