Asymptotically Exact, Embarrassingly Parallel MCMC

19 November 2013

Papers citing "Asymptotically Exact, Embarrassingly Parallel MCMC"

50 / 123 papers shown

Title
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting Maxime Vono Daniel Paulin Arnaud Doucet 24 37 0 23 May 2019
Embarrassingly parallel MCMC using deep invertible transformations Diego Mesquita P. Blomstedt Samuel Kaski 9 18 0 11 Mar 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language W. Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric P. Xing 28 17 0 31 Jan 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets R. Cornish Paul Vanetti Alexandre Bouchard-Coté George Deligiannidis Arnaud Doucet 42 16 0 28 Jan 2019
Communication Efficient Parallel Algorithms for Optimization on Manifolds B. Saparbayeva M. Zhang Lizhen Lin 11 4 0 26 Oct 2018
Toward Understanding the Impact of Staleness in Distributed Machine Learning Wei-Ming Dai Yi Zhou Nanqing Dong H. M. Zhang Eric P. Xing 17 79 0 08 Oct 2018
Global consensus Monte Carlo Lewis J. Rendell A. M. Johansen Anthony Lee N. Whiteley 24 39 0 24 Jul 2018
Subsampling MCMC - An introduction for the survey statistician M. Quiroz M. Villani Robert Kohn Minh-Ngoc Tran Khue-Dung Dang 14 23 0 23 Jul 2018
Quasi Markov Chain Monte Carlo Methods Tobias Schwedes B. Calderhead 11 6 0 29 Jun 2018
Adaptive MCMC via Combining Local Samplers K. Shaloudegi András Gyorgy 32 1 0 11 Jun 2018
Scalable Bayesian Nonparametric Clustering and Classification Yang Ni Peter Muller M. Diesendruck Sinead Williamson Yitan Zhu Yuan Ji 17 26 0 07 Jun 2018
Method G: Uncertainty Quantification for Distributed Data Problems using Generalized Fiducial Inference Randy C. S. Lai Jan Hannig Thomas C. M. Lee FedML 14 3 0 18 May 2018
Interdependent Gibbs Samplers Mark Kozdoba Shie Mannor 9 0 0 11 Apr 2018
Accelerating MCMC Algorithms Christian P. Robert Victor Elvira Nicholas G. Tawn Changye Wu 22 140 0 08 Apr 2018
Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC Qi Liu A. Bhadra W. Cleveland 21 0 0 15 Jan 2018
Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages Zheng Wei Erin M. Conlon 6 3 0 16 Dec 2017
Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference B. Thijssen L. Wessels 35 8 0 12 Dec 2017
Asymptotic properties and approximation of Bayesian logspline density estimators for communication-free parallel computing methods Konstandinos Kotsiopoulos A. Miroshnikov Erin M. Conlon 21 0 0 25 Oct 2017
Communication-Free Parallel Supervised Topic Models L. Gao Ronghuo Zheng 8 0 0 10 Aug 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang M. Quiroz Robert Kohn Minh-Ngoc Tran M. Villani 29 62 0 02 Aug 2017
Mini-batch Tempered MCMC Dangna Li W. Wong 21 5 0 31 Jul 2017
Control Variates for Stochastic Gradient MCMC Jack Baker Paul Fearnhead E. Fox Christopher Nemeth BDL 27 101 0 16 Jun 2017
Generalized Bouncy Particle Sampler Changye Wu Christian P. Robert 30 25 0 15 Jun 2017
Average of Recentered Parallel MCMC for Big Data Changye Wu Christian P. Robert 11 7 0 15 Jun 2017
Bayesian Bootstraps for Massive Data Andrés F. Barrientos Víctor Pena 20 7 0 28 May 2017
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 19 119 0 27 May 2017
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 11 88 0 21 May 2017
Distributed Bayesian Matrix Factorization with Limited Communication Xiangju Qin P. Blomstedt Eemeli Leppaaho P. Parviainen Samuel Kaski 14 5 0 02 Mar 2017
Asynchronous Stochastic Gradient MCMC with Elastic Coupling Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter BDL 21 1 0 02 Dec 2016
Parallel Chromatic MCMC with Spatial Partitioning Jun Song David Moore 6 0 0 02 Dec 2016
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo Paul Fearnhead J. Bierkens M. Pollock Gareth O. Roberts 25 106 0 23 Nov 2016
Asymptotic properties of parallel Bayesian kernel density estimators A. Miroshnikov Evgeny Savelév 20 1 0 09 Nov 2016
Stochastic Gradient MCMC with Stale Gradients Changyou Chen Nan Ding Chunyuan Li Yizhe Zhang Lawrence Carin BDL 33 23 0 21 Oct 2016
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 31 18 0 12 Sep 2016
Joining and splitting models with Markov melding Robert J. B. Goudie A. Presanis David J. Lunn Daniela De Angelis L. Wernisch 30 29 0 22 Jul 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 231 0 11 Jul 2016
Post-Inference Prior Swapping W. Neiswanger Eric P. Xing 14 1 0 02 Jun 2016
Learning Combinatorial Functions from Pairwise Comparisons Maria-Florina Balcan Aaron Smith Colin White 20 5 0 30 May 2016
Merging MCMC Subposteriors through Gaussian-Process Approximations Christopher Nemeth Chris Sherlock 22 49 0 27 May 2016
Communication-Efficient Distributed Statistical Inference Michael I. Jordan J. Lee Yun Yang 14 19 0 25 May 2016
Simple, Scalable and Accurate Posterior Interval Estimation Cheng Li Sanvesh Srivastava David B. Dunson 10 54 0 13 May 2016
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 50 22 0 06 May 2016
Bayesian inference in hierarchical models by combining independent posteriors Ritabrata Dutta P. Blomstedt Samuel Kaski TPM 11 2 0 30 Mar 2016
Adaptive Component-wise Multiple-Try Metropolis Sampling Jinyoung Yang Evgeny Levi Radu V. Craiu Jeffrey S. Rosenthal 16 7 0 11 Mar 2016
Composing inference algorithms as program transformations R. Zinkov Chung-chieh Shan TPM 14 29 0 06 Mar 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 22 87 0 16 Feb 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 24 70 0 31 Dec 2015
Sequential Markov Chain Monte Carlo for Bayesian Filtering with Massive Data A. Freitas Françcois Septier Lyudmila Mihaylova 8 4 0 08 Dec 2015
Embarrassingly Parallel Sequential Markov-chain Monte Carlo for Large Sets of Time Series R. Casarin Radu V. Craiu Fabrizio Leisen AI4TS 24 4 0 04 Dec 2015
A Distributed One-Step Estimator Cheng Huang X. Huo FedML 16 80 0 04 Nov 2015