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Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
v1v2 (latest)

Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions

21 April 2022
Natesh S. Pillai
ArXiv (abs)PDFHTML

Papers citing "Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions"

6 / 6 papers shown
Title
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo
  Algorithms
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
Tim Tsz-Kit Lau
Han Liu
Thomas Pock
101
4
0
25 May 2023
Efficient Bayesian computation for low-photon imaging problems
Efficient Bayesian computation for low-photon imaging problems
Savvas Melidonis
P. Dobson
Y. Altmann
Marcelo Pereyra
K. Zygalakis
44
12
0
10 Jun 2022
Projected Stochastic Gradient Langevin Algorithms for Constrained
  Sampling and Non-Convex Learning
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
Andrew G. Lamperski
44
28
0
22 Dec 2020
Proximal Markov chain Monte Carlo algorithms
Proximal Markov chain Monte Carlo algorithms
Marcelo Pereyra
148
178
0
02 Jun 2013
Optimal scaling and diffusion limits for the Langevin algorithm in high
  dimensions
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
Natesh S. Pillai
Andrew M. Stuart
Alexandre Hoang Thiery
133
100
0
02 Mar 2011
Diffusion limits of the random walk Metropolis algorithm in high
  dimensions
Diffusion limits of the random walk Metropolis algorithm in high dimensions
Jonathan C. Mattingly
Natesh S. Pillai
Andrew M. Stuart
163
114
0
22 Mar 2010
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