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A fast asynchronous MCMC sampler for sparse Bayesian inference

A fast asynchronous MCMC sampler for sparse Bayesian inference

14 August 2021
Yves F. Atchadé
Liwei Wang
ArXivPDFHTML

Papers citing "A fast asynchronous MCMC sampler for sparse Bayesian inference"

4 / 4 papers shown
Title
A statistical perspective on algorithm unrolling models for inverse
  problems
A statistical perspective on algorithm unrolling models for inverse problems
Yves Atchadé
Xinru Liu
Qiuyun Zhu
24
0
0
10 Nov 2023
Bounding Wasserstein distance with couplings
Bounding Wasserstein distance with couplings
N. Biswas
Lester W. Mackey
30
8
0
06 Dec 2021
Asynchronous and Distributed Data Augmentation for Massive Data Settings
Asynchronous and Distributed Data Augmentation for Massive Data Settings
Jiayuan Zhou
Kshitij Khare
Sanvesh Srivastava
29
3
0
18 Sep 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1