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A Convergence Theory for SVGD in the Population Limit under Talagrand's
  Inequality T1

A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1

6 June 2021
Adil Salim
Lukang Sun
Peter Richtárik
ArXivPDFHTML

Papers citing "A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1"

18 / 18 papers shown
Title
Improved Finite-Particle Convergence Rates for Stein Variational
  Gradient Descent
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
Krishnakumar Balasubramanian
Sayan Banerjee
Promit Ghosal
40
2
0
13 Sep 2024
Stein Variational Ergodic Search
Stein Variational Ergodic Search
Darrick Lee
Cameron J. Lerch
Fabio Ramos
Ian Abraham
32
3
0
17 Jun 2024
Long-time asymptotics of noisy SVGD outside the population limit
Long-time asymptotics of noisy SVGD outside the population limit
Victor Priser
Pascal Bianchi
Adil Salim
40
1
0
17 Jun 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions:
  Alleviating Metastability by Denoising Diffusion
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He
Kevin Rojas
Molei Tao
DiffM
38
8
0
27 Feb 2024
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Haeju Lee
Minchan Jeong
SeYoung Yun
Kee-Eung Kim
AAML
VPVLM
53
2
0
13 Feb 2024
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
Provably Fast Finite Particle Variants of SVGD via Virtual Particle
  Stochastic Approximation
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Aniket Das
Dheeraj M. Nagaraj
35
7
0
27 May 2023
Learning Rate Free Sampling in Constrained Domains
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock
Lester W. Mackey
Christopher Nemeth
41
2
0
24 May 2023
Tuning-Free Maximum Likelihood Training of Latent Variable Models via
  Coin Betting
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
Louis Sharrock
Daniel Dodd
Christopher Nemeth
32
7
0
24 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational
  Gradient Descent
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
Tianle Liu
Promit Ghosal
Krishnakumar Balasubramanian
Natesh S. Pillai
27
9
0
23 May 2023
Augmented Message Passing Stein Variational Gradient Descent
Augmented Message Passing Stein Variational Gradient Descent
Jiankui Zhou
Yue Qiu
17
0
0
18 May 2023
Forward-backward Gaussian variational inference via JKO in the
  Bures-Wasserstein Space
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
Michael Diao
Krishnakumar Balasubramanian
Sinho Chewi
Adil Salim
BDL
32
21
0
10 Apr 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Louis Sharrock
Christopher Nemeth
BDL
28
8
0
26 Jan 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient
  Descent
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi
Lester W. Mackey
28
18
0
17 Nov 2022
Regularized Stein Variational Gradient Flow
Regularized Stein Variational Gradient Flow
Ye He
Krishnakumar Balasubramanian
Bharath K. Sriperumbudur
Jianfeng Lu
OT
34
11
0
15 Nov 2022
Sampling with Mollified Interaction Energy Descent
Sampling with Mollified Interaction Energy Descent
Lingxiao Li
Qiang Liu
Anna Korba
Mikhail Yurochkin
Justin Solomon
38
15
0
24 Oct 2022
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
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