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Convex Analysis of the Mean Field Langevin Dynamics
25 January 2022
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
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Papers citing
"Convex Analysis of the Mean Field Langevin Dynamics"
41 / 41 papers shown
Title
Non-convex entropic mean-field optimization via Best Response flow
Razvan-Andrei Lascu
Mateusz B. Majka
34
0
0
28 May 2025
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games
Yulong Lu
Pierre Monmarché
MLT
53
1
0
12 May 2025
Mirror Mean-Field Langevin Dynamics
Anming Gu
Juno Kim
70
1
0
05 May 2025
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime
Raphael Barboni
Gabriel Peyré
François-Xavier Vialard
MLT
112
0
0
25 Apr 2025
Beyond Propagation of Chaos: A Stochastic Algorithm for Mean Field Optimization
Chandan Tankala
Dheeraj M. Nagaraj
Anant Raj
75
1
0
17 Mar 2025
Global Convergence and Rich Feature Learning in
L
L
L
-Layer Infinite-Width Neural Networks under
μ
μ
μ
P Parametrization
Zixiang Chen
Greg Yang
Qingyue Zhao
Q. Gu
MLT
86
0
0
12 Mar 2025
Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
Atsushi Nitanda
Anzelle Lee
Damian Tan Xing Kai
Mizuki Sakaguchi
Taiji Suzuki
AI4CE
110
1
0
09 Feb 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity
Shuailong Zhu
Xiaohui Chen
108
0
0
25 Jan 2025
Linear convergence of proximal descent schemes on the Wasserstein space
Razvan-Andrei Lascu
Mateusz B. Majka
David Siska
Łukasz Szpruch
155
1
0
22 Nov 2024
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini
Adel Javanmard
Murat A. Erdogdu
OOD
AAML
170
1
0
21 Oct 2024
Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows
F. R. Crucinio
A. M. Johansen
46
1
0
29 Sep 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Alireza Mousavi-Hosseini
Denny Wu
Murat A. Erdogdu
MLT
AI4CE
99
8
0
14 Aug 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu
Edward Chien
Kristjan Greenewald
120
8
0
11 Jun 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View
Javier Maass
Joaquin Fontbona
MLT
FedML
186
2
0
30 May 2024
Improved Particle Approximation Error for Mean Field Neural Networks
Atsushi Nitanda
52
8
0
24 May 2024
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura
Taiji Suzuki
MLT
68
5
0
22 Mar 2024
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
116
4
0
25 Feb 2024
Mirror Descent-Ascent for mean-field min-max problems
Razvan-Andrei Lascu
Mateusz B. Majka
Lukasz Szpruch
87
1
0
12 Feb 2024
Sampling from the Mean-Field Stationary Distribution
Yunbum Kook
Matthew Shunshi Zhang
Sinho Chewi
Murat A. Erdogdu
Mufan Li
123
7
0
12 Feb 2024
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Juno Kim
Taiji Suzuki
128
24
0
02 Feb 2024
Mean-field underdamped Langevin dynamics and its spacetime discretization
Qiang Fu
Ashia Wilson
84
4
0
26 Dec 2023
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Juno Kim
Kakei Yamamoto
Kazusato Oko
Zhuoran Yang
Taiji Suzuki
78
10
0
02 Dec 2023
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
Rentian Yao
Linjun Huang
Yun Yang
92
4
0
01 Nov 2023
Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini
Denny Wu
Taiji Suzuki
Murat A. Erdogdu
MLT
107
20
0
07 Sep 2023
Convergence of mean-field Langevin dynamics: Time and space discretization, stochastic gradient, and variance reduction
Taiji Suzuki
Denny Wu
Atsushi Nitanda
64
17
0
12 Jun 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
Ö. Deniz Akyildiz
F. R. Crucinio
Mark Girolami
Tim Johnston
Sotirios Sabanis
138
13
0
23 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
77
14
0
21 Mar 2023
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
Atsushi Nitanda
Kazusato Oko
Denny Wu
Nobuhito Takenouchi
Taiji Suzuki
70
4
0
06 Mar 2023
Mean Field Optimization Problem Regularized by Fisher Information
J. Claisse
Giovanni Conforti
Zhenjie Ren
Song-bo Wang
66
5
0
12 Feb 2023
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
Yulong Lu
MLT
AI4CE
59
23
0
17 Dec 2022
Learning threshold neurons via the "edge of stability"
Kwangjun Ahn
Sébastien Bubeck
Sinho Chewi
Y. Lee
Felipe Suarez
Yi Zhang
MLT
108
41
0
14 Dec 2022
Uniform-in-time propagation of chaos for mean field Langevin dynamics
Fan Chen
Zhenjie Ren
Song-bo Wang
106
31
0
06 Dec 2022
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks
Zhengdao Chen
Eric Vanden-Eijnden
Joan Bruna
MLT
77
5
0
28 Oct 2022
Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
Diyuan Wu
Vyacheslav Kungurtsev
Marco Mondelli
60
3
0
13 Oct 2022
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
MLT
379
50
0
29 Sep 2022
Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows
F. R. Crucinio
Valentin De Bortoli
Arnaud Doucet
A. M. Johansen
61
3
0
16 Sep 2022
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates
Jingwei Zhang
Xunpeng Huang
Jincheng Yu
MLT
54
1
0
19 May 2022
Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat
Stephen X. Zhang
Matthieu Heitz
Geoffrey Schiebinger
81
26
0
14 May 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba
Murat A. Erdogdu
Taiji Suzuki
Zhichao Wang
Denny Wu
Greg Yang
MLT
99
129
0
03 May 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
Aleksandr Shevchenko
Vyacheslav Kungurtsev
Marco Mondelli
MLT
100
13
0
03 Nov 2021
Function approximation by neural nets in the mean-field regime: Entropic regularization and controlled McKean-Vlasov dynamics
Belinda Tzen
Maxim Raginsky
66
17
0
05 Feb 2020
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