Convex Analysis of the Mean Field Langevin Dynamics

25 January 2022

Papers citing "Convex Analysis of the Mean Field Langevin Dynamics"

22 / 22 papers shown

Title
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games Yulong Lu Pierre Monmarché MLT 34 0 0 12 May 2025
Mirror Mean-Field Langevin Dynamics Anming Gu Juno Kim 31 0 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 36 0 0 25 Apr 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity Shuailong Zhu Xiaohui Chen 77 0 0 28 Jan 2025
Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini Adel Javanmard Murat A. Erdogdu OOD AAML 44 1 0 21 Oct 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini Denny Wu Murat A. Erdogdu MLT AI4CE 35 6 0 14 Aug 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu Edward Chien Kristjan Greenewald 46 4 0 11 Jun 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 50 2 0 30 May 2024
Mean-field underdamped Langevin dynamics and its spacetime discretization Qiang Fu Ashia Wilson 40 4 0 26 Dec 2023
Gradient-Based Feature Learning under Structured Data Alireza Mousavi-Hosseini Denny Wu Taiji Suzuki Murat A. Erdogdu MLT 34 18 0 07 Sep 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 32 11 0 23 Mar 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 18 11 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 32 3 0 06 Mar 2023
Learning threshold neurons via the "edge of stability" Kwangjun Ahn Sébastien Bubeck Sinho Chewi Y. Lee Felipe Suarez Yi Zhang MLT 38 36 0 14 Dec 2022
Uniform-in-time propagation of chaos for mean field Langevin dynamics Fan Chen Zhenjie Ren Song-bo Wang 43 30 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 25 5 0 28 Oct 2022
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD Alireza Mousavi-Hosseini Sejun Park M. Girotti Ioannis Mitliagkas Murat A. Erdogdu MLT 324 48 0 29 Sep 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 31 21 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 37 121 0 03 May 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks A. Shevchenko Vyacheslav Kungurtsev Marco Mondelli MLT 36 13 0 03 Nov 2021
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle 58 29 0 03 May 2021
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence Murat A. Erdogdu Rasa Hosseinzadeh Matthew Shunshi Zhang 86 41 0 22 Jul 2020