Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2206.00508
Cited By
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
1 June 2022
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
15 / 15 papers shown
Title
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
Krishnakumar Balasubramanian
Sayan Banerjee
Promit Ghosal
33
2
0
13 Sep 2024
Long-time asymptotics of noisy SVGD outside the population limit
Victor Priser
Pascal Bianchi
Adil Salim
29
1
0
17 Jun 2024
A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness
Zhenyu Sun
Ermin Wei
28
0
0
22 Mar 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
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
Gaetan Serré
Argyris Kalogeratos
Nicolas Vayatis
OT
16
1
0
07 Feb 2024
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin
Peter Richtárik
AI4CE
23
6
0
28 Jun 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Aniket Das
Dheeraj M. Nagaraj
25
7
0
27 May 2023
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock
Lester W. Mackey
Christopher Nemeth
25
2
0
24 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
Tianle Liu
Promit Ghosal
Krishnakumar Balasubramanian
Natesh S. Pillai
19
9
0
23 May 2023
Variance-reduced Clipping for Non-convex Optimization
Amirhossein Reisizadeh
Haochuan Li
Subhro Das
Ali Jadbabaie
18
25
0
02 Mar 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi
Lester W. Mackey
23
18
0
17 Nov 2022
Improved Stein Variational Gradient Descent with Importance Weights
Lukang Sun
Peter Richtárik
13
3
0
02 Oct 2022
A Note on the Convergence of Mirrored Stein Variational Gradient Descent under
(
L
0
,
L
1
)
−
(L_0,L_1)-
(
L
0
,
L
1
)
−
Smoothness Condition
Lukang Sun
Peter Richtárik
10
5
0
20 Jun 2022
A Stein variational Newton method
Gianluca Detommaso
Tiangang Cui
Alessio Spantini
Youssef Marzouk
Robert Scheichl
53
114
0
08 Jun 2018
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
78
222
0
06 Mar 2017
1