ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.03188
  4. Cited By
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data

The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

11 July 2016
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
ArXivPDFHTML

Papers citing "The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data"

20 / 20 papers shown
Title
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain
  Monte Carlo
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain Monte Carlo
P. Holderrieth
58
10
0
20 Oct 2019
A novel algorithmic approach to Bayesian Logic Regression
A novel algorithmic approach to Bayesian Logic Regression
A. Hubin
G. Storvik
F. Frommlet
59
16
0
22 May 2017
Exponential Ergodicity of the Bouncy Particle Sampler
Exponential Ergodicity of the Bouncy Particle Sampler
George Deligiannidis
Alexandre Bouchard-Côté
Arnaud Doucet
65
49
0
12 May 2017
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo
Paul Fearnhead
J. Bierkens
M. Pollock
Gareth O. Roberts
44
108
0
23 Nov 2016
Stochastic Bouncy Particle Sampler
Stochastic Bouncy Particle Sampler
Ari Pakman
D. Gilboa
David Carlson
Liam Paninski
45
32
0
03 Sep 2016
Quantifying the accuracy of approximate diffusions and Markov chains
Quantifying the accuracy of approximate diffusions and Markov chains
Jonathan H. Huggins
James Zou
78
29
0
20 May 2016
Simple, Scalable and Accurate Posterior Interval Estimation
Simple, Scalable and Accurate Posterior Interval Estimation
Cheng Li
Sanvesh Srivastava
David B. Dunson
64
56
0
13 May 2016
The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov
  Chain Monte Carlo Method
The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method
Alexandre Bouchard-Côté
Sebastian J. Vollmer
Arnaud Doucet
67
237
0
08 Oct 2015
A Complete Recipe for Stochastic Gradient MCMC
A Complete Recipe for Stochastic Gradient MCMC
Yian Ma
Tianqi Chen
E. Fox
BDL
SyDa
62
486
0
15 Jun 2015
On Markov chain Monte Carlo methods for tall data
On Markov chain Monte Carlo methods for tall data
Rémi Bardenet
Arnaud Doucet
Chris Holmes
71
279
0
11 May 2015
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics
Sebastian J. Vollmer
K. Zygalakis
and Yee Whye Teh
78
49
0
02 Jan 2015
Consistency and fluctuations for stochastic gradient Langevin dynamics
Consistency and fluctuations for stochastic gradient Langevin dynamics
Yee Whye Teh
Alexandre Hoang Thiery
Sebastian J. Vollmer
70
235
0
01 Sep 2014
Speeding Up MCMC by Efficient Data Subsampling
Speeding Up MCMC by Efficient Data Subsampling
M. Quiroz
Robert Kohn
M. Villani
Minh-Ngoc Tran
87
175
0
16 Apr 2014
Firefly Monte Carlo: Exact MCMC with Subsets of Data
Firefly Monte Carlo: Exact MCMC with Subsets of Data
D. Maclaurin
Ryan P. Adams
140
179
0
22 Mar 2014
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Stanislav Minsker
Sanvesh Srivastava
Lizhen Lin
David B. Dunson
99
110
0
11 Mar 2014
Parallelizing MCMC via Weierstrass Sampler
Parallelizing MCMC via Weierstrass Sampler
Xiangyu Wang
David B. Dunson
91
138
0
17 Dec 2013
Asymptotically Exact, Embarrassingly Parallel MCMC
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger
Chong-Jun Wang
Eric Xing
FedML
83
330
0
19 Nov 2013
On nonnegative unbiased estimators
On nonnegative unbiased estimators
Pierre E. Jacob
Alexandre Hoang Thiery
106
67
0
25 Sep 2013
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
292
3,279
0
09 Jun 2012
The pseudo-marginal approach for efficient Monte Carlo computations
The pseudo-marginal approach for efficient Monte Carlo computations
Christophe Andrieu
Gareth O. Roberts
179
895
0
31 Mar 2009
1