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2106.03076
Cited By
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
6 June 2021
Adil Salim
Lukang Sun
Peter Richtárik
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ArXiv
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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
Krishnakumar Balasubramanian
Sayan Banerjee
Promit Ghosal
40
2
0
13 Sep 2024
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
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
Ye He
Kevin Rojas
Molei Tao
DiffM
38
8
0
27 Feb 2024
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
Egor Shulgin
Peter Richtárik
AI4CE
28
6
0
28 Jun 2023
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
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
Louis Sharrock
Daniel Dodd
Christopher Nemeth
32
7
0
24 May 2023
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
Jiankui Zhou
Yue Qiu
17
0
0
18 May 2023
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
Louis Sharrock
Christopher Nemeth
BDL
28
8
0
26 Jan 2023
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
Ye He
Krishnakumar Balasubramanian
Bharath K. Sriperumbudur
Jianfeng Lu
OT
34
11
0
15 Nov 2022
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
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
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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