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Stochastic Gradient Monomial Gamma Sampler
v1v2 (latest)

Stochastic Gradient Monomial Gamma Sampler

5 June 2017
Yizhe Zhang
Changyou Chen
Zhe Gan
Ricardo Henao
Lawrence Carin
    BDL
ArXiv (abs)PDFHTML

Papers citing "Stochastic Gradient Monomial Gamma Sampler"

5 / 5 papers shown
Title
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic
  Gradient MCMC
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC
Ruqi Zhang
A. Feder Cooper
Christopher De Sa
83
18
0
29 Feb 2020
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Chang-Shu Liu
Jingwei Zhuo
Jun Zhu
106
22
0
01 Feb 2019
A Convergence Analysis for A Class of Practical Variance-Reduction
  Stochastic Gradient MCMC
A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC
Changyou Chen
Wenlin Wang
Yizhe Zhang
Qinliang Su
Lawrence Carin
94
28
0
04 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
129
57
0
04 Sep 2017
Modified Hamiltonian Monte Carlo for Bayesian inference
Modified Hamiltonian Monte Carlo for Bayesian inference
Tijana Radivojević
E. Akhmatskaya
106
31
0
13 Jun 2017
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