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2306.07221
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Convergence of mean-field Langevin dynamics: Time and space discretization, stochastic gradient, and variance reduction
12 June 2023
Taiji Suzuki
Denny Wu
Atsushi Nitanda
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Papers citing
"Convergence of mean-field Langevin dynamics: Time and space discretization, stochastic gradient, and variance reduction"
7 / 7 papers shown
Title
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Alireza Mousavi-Hosseini
Denny Wu
Murat A. Erdogdu
MLT
AI4CE
27
6
0
14 Aug 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View
Javier Maass Martínez
Joaquin Fontbona
FedML
MLT
29
2
0
30 May 2024
Mean-field underdamped Langevin dynamics and its spacetime discretization
Qiang Fu
Ashia Wilson
26
4
0
26 Dec 2023
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
Atsushi Nitanda
Kazusato Oko
Denny Wu
Nobuhito Takenouchi
Taiji Suzuki
24
3
0
06 Mar 2023
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
Benjamin Gess
Sebastian Kassing
Vitalii Konarovskyi
DiffM
24
6
0
14 Feb 2023
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
59
64
0
25 Jan 2022
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
99
324
0
09 Feb 2016
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