Parallelizing MCMC via Weierstrass Sampler

17 December 2013

Papers citing "Parallelizing MCMC via Weierstrass Sampler"

25 / 25 papers shown

Title
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 21 6 0 31 Oct 2022
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi Ma Zhao Song Guang Lin FedML 30 16 0 09 Dec 2021
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 23 154 0 25 Jul 2021
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 42 17 0 14 Apr 2020
Consensus Monte Carlo for Random Subsets using Shared Anchors Yang Ni Yuan Ji P. Müller 22 14 0 28 Jun 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 19 110 0 12 Jun 2019
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting Maxime Vono Daniel Paulin Arnaud Doucet 24 37 0 23 May 2019
Asymptotically exact data augmentation: models, properties and algorithms Maxime Vono N. Dobigeon P. Chainais 32 27 0 15 Feb 2019
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 27 55 0 27 Nov 2018
Quantile Regression Under Memory Constraint Xi Chen Weidong Liu Yichen Zhang 11 116 0 18 Oct 2018
Quasi Markov Chain Monte Carlo Methods Tobias Schwedes B. Calderhead 18 6 0 29 Jun 2018
Scalable Bayesian Nonparametric Clustering and Classification Yang Ni Peter Muller M. Diesendruck Sinead Williamson Yitan Zhu Yuan Ji 31 26 0 07 Jun 2018
Accelerating MCMC Algorithms Christian P. Robert Victor Elvira Nicholas G. Tawn Changye Wu 28 141 0 08 Apr 2018
Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang M. Quiroz Robert Kohn Minh-Ngoc Tran M. Villani 31 62 0 02 Aug 2017
Control Variates for Stochastic Gradient MCMC Jack Baker Paul Fearnhead E. Fox Christopher Nemeth BDL 30 101 0 16 Jun 2017
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 39 18 0 12 Sep 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
Learning Combinatorial Functions from Pairwise Comparisons Maria-Florina Balcan Aaron Smith Colin White 20 25 0 30 May 2016
Merging MCMC Subposteriors through Gaussian-Process Approximations Christopher Nemeth Chris Sherlock 22 49 0 27 May 2016
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 50 22 0 06 May 2016
DECOrrelated feature space partitioning for distributed sparse regression Xiangyu Wang David B. Dunson Chenlei Leng 48 21 0 08 Feb 2016
Orthogonal parallel MCMC methods for sampling and optimization Luca Martino Victor Elvira D. Luengo J. Corander F. Louzada 37 74 0 30 Jul 2015
Median Selection Subset Aggregation for Parallel Inference Xiangyu Wang Peichao Peng David B. Dunson 44 23 0 24 Oct 2014
Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching Marco Banterle Clara Grazian Christian P. Robert 38 13 0 10 Jun 2014