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Improved Stein Variational Gradient Descent with Importance Weights

Improved Stein Variational Gradient Descent with Importance Weights

2 October 2022
Lukang Sun
Peter Richtárik
ArXivPDFHTML

Papers citing "Improved Stein Variational Gradient Descent with Importance Weights"

5 / 5 papers shown
Title
Towards a Better Theoretical Understanding of Independent Subnetwork
  Training
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin
Peter Richtárik
AI4CE
28
6
0
28 Jun 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Louis Sharrock
Christopher Nemeth
BDL
15
8
0
26 Jan 2023
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
174
42
0
06 Mar 2020
A Stein variational Newton method
A Stein variational Newton method
Gianluca Detommaso
Tiangang Cui
Alessio Spantini
Youssef Marzouk
Robert Scheichl
61
114
0
08 Jun 2018
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
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