Asymptotically Exact, Embarrassingly Parallel MCMC

19 November 2013

Papers citing "Asymptotically Exact, Embarrassingly Parallel MCMC"

23 / 123 papers shown

Title
Embarrassingly Parallel Variational Inference in Nonconjugate Models W. Neiswanger Chong-Jun Wang Eric P. Xing 19 16 0 14 Oct 2015
Asynchronous Gibbs Sampling Alexander Terenin Daniel P. Simpson D. Draper 18 43 0 30 Sep 2015
Nonparametric Bayesian Aggregation for Massive Data Zuofeng Shang Botao Hao Guang Cheng 9 8 0 17 Aug 2015
Orthogonal parallel MCMC methods for sampling and optimization Luca Martino Victor Elvira D. Luengo J. Corander F. Louzada 37 74 0 30 Jul 2015
Speeding Up MCMC by Delayed Acceptance and Data Subsampling M. Quiroz Minh-Ngoc Tran M. Villani Robert Kohn 14 43 0 22 Jul 2015
Scalable MCMC for Large Data Problems using Data Subsampling and the Difference Estimator M. Quiroz M. Villani Robert Kohn 13 9 0 10 Jul 2015
Parallelizing MCMC with Random Partition Trees Xiangyu Wang Fangjian Guo Katherine A. Heller David B. Dunson 30 75 0 10 Jun 2015
Variational consensus Monte Carlo Maxim Rabinovich E. Angelino Michael I. Jordan 24 50 0 09 Jun 2015
Efficient Straggler Replication in Large-scale Parallel Computing Da Wang Gauri Joshi G. Wornell 31 128 0 11 Mar 2015
Accelerating Metropolis-Hastings algorithms by Delayed Acceptance Marco Banterle Clara Grazian Anthony Lee Christian P. Robert 25 55 0 03 Mar 2015
Statistical Methods and Computing for Big Data Chun Wang Ming-Hui Chen E. Schifano Jing Wu Jun Yan 30 128 0 27 Feb 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards P. Green K. Latuszyñski Marcelo Pereyra Christian P. Robert 47 21 0 04 Feb 2015
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data Aki Vehtari Andrew Gelman Tuomas Sivula Pasi Jylänki Dustin Tran Swupnil Sahai Paul Blomstedt John P. Cunningham D. Schiminovich Christian P. Robert 28 18 0 16 Dec 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 41 84 0 24 Nov 2014
Stochastic Variational Inference for Hidden Markov Models N. Foti Jason Xu Dillon Laird E. Fox BDL 26 93 0 06 Nov 2014
Median Selection Subset Aggregation for Parallel Inference Xiangyu Wang Peichao Peng David B. Dunson 44 23 0 24 Oct 2014
Distributed Estimation, Information Loss and Exponential Families Qiang Liu Alexander Ihler FedML 26 59 0 09 Oct 2014
Consistency and fluctuations for stochastic gradient Langevin dynamics Yee Whye Teh Alexandre Hoang Thiery Sebastian J. Vollmer 26 228 0 01 Sep 2014
Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching Marco Banterle Clara Grazian Christian P. Robert 33 13 0 10 Jun 2014
Speeding Up MCMC by Efficient Data Subsampling M. Quiroz Robert Kohn M. Villani Minh-Ngoc Tran 39 173 0 16 Apr 2014
Efficient Task Replication for Fast Response Times in Parallel Computation Da Wang Gauri Joshi G. Wornell 30 120 0 04 Apr 2014
Robust and Scalable Bayes via a Median of Subset Posterior Measures Stanislav Minsker Sanvesh Srivastava Lizhen Lin David B. Dunson 48 108 0 11 Mar 2014
Parallelizing MCMC via Weierstrass Sampler Xiangyu Wang David B. Dunson 42 137 0 17 Dec 2013