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A Neural Network MCMC sampler that maximizes Proposal Entropy

A Neural Network MCMC sampler that maximizes Proposal Entropy

7 October 2020
Zengyi Li
Yubei Chen
Friedrich T. Sommer
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Papers citing "A Neural Network MCMC sampler that maximizes Proposal Entropy"

3 / 3 papers shown
Title
Path Integral Sampler: a stochastic control approach for sampling
Path Integral Sampler: a stochastic control approach for sampling
Qinsheng Zhang
Yongxin Chen
DiffM
13
102
0
30 Nov 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization
Semi-Empirical Objective Functions for MCMC Proposal Optimization
Chris Cannella
Vahid Tarokh
15
1
0
03 Jun 2021
Training Deep Energy-Based Models with f-Divergence Minimization
Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu
Yang Song
Jiaming Song
Stefano Ermon
163
42
0
06 Mar 2020
1