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Convergence of Stein Variational Gradient Descent under a Weaker
  Smoothness Condition

Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition

1 June 2022
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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 $(L_0,L_1)-$Smoothness Condition
A Note on the Convergence of Mirrored Stein Variational Gradient Descent under (L0,L1)−(L_0,L_1)-(L0​,L1​)−Smoothness Condition
Lukang Sun
Peter Richtárik
10
5
0
20 Jun 2022
A Stein variational Newton method
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
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
78
222
0
06 Mar 2017
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