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DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm
  via Langevin Monte Carlo within Gibbs

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs

11 June 2021
Vincent Plassier
Maxime Vono
Alain Durmus
Eric Moulines
ArXivPDFHTML

Papers citing "DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs"

4 / 4 papers shown
Title
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
45
4
0
21 Apr 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new
  algorithms
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
Vincent Plassier
Alain Durmus
Eric Moulines
FedML
14
6
0
31 Oct 2022
Membership Inference Attacks via Adversarial Examples
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai
Elie Kadoche
Rémi Leluc
Vincent Plassier
AAML
FedML
MIACV
38
7
0
27 Jul 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using
  ADMM-type Splitting
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Maxime Vono
Daniel Paulin
Arnaud Doucet
13
37
0
23 May 2019
1