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

Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018
Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points JMLR 2018
An Efficient Minibatch Acceptance Test for Metropolis-Hastings IJCAI 2018
Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018
Fast MCMC Sampling Algorithms on Polytopes JMLR 2018
A Compositional Bayesian Semantics for Natural Language COLING 2018
Deep Poisson gamma dynamical systems NIPS 2018
Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018
A Faster Approximation Algorithm for the Gibbs Partition Function COLT 2018
Simple, Distributed, and Accelerated Probabilistic Programming NIPS 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018
Convergence of Langevin MCMC in KL-divergence ALT 2018
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018
Minibatch Gibbs Sampling on Large Graphical Models ICML 2018
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018
How Deep Are Deep Gaussian Processes? JMLR 2018
Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018
Stochastic Variance-Reduced Hamilton Monte Carlo Methods ICML 2018
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NIPS 2018
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series AISTATS 2018
Mental Sampling in Multimodal Representations NIPS 2018
Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018