Uniform-in-time propagation of chaos for mean field Langevin dynamics

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Uniform-in-time propagation of chaos for mean field Langevin dynamics

6 December 2022

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Papers citing "Uniform-in-time propagation of chaos for mean field Langevin dynamics"

16 / 16 papers shown

Title
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 108 1 0 09 Feb 2025
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini Denny Wu Murat A. Erdogdu MLT AI4CE 76 8 0 14 Aug 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu Edward Chien Kristjan Greenewald 90 8 0 11 Jun 2024
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size Huafu Liao Alpár R. Mészáros Chenchen Mou Chao Zhou 72 2 0 08 Apr 2024
Mean Field Optimization Problem Regularized by Fisher Information J. Claisse Giovanni Conforti Zhenjie Ren Song-bo Wang 49 5 0 12 Feb 2023
A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics Lei Li Yuliang Wang 78 11 0 19 Jul 2022
Convex Analysis of the Mean Field Langevin Dynamics Atsushi Nitanda Denny Wu Taiji Suzuki MLT 108 66 0 25 Jan 2022
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization Tianyi Liu Yan Li S. Wei Enlu Zhou T. Zhao 47 13 0 24 Feb 2021
Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis Atsushi Nitanda Denny Wu Taiji Suzuki 56 29 0 31 Dec 2020
A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks Phan-Minh Nguyen H. Pham AI4CE 81 83 0 30 Jan 2020
Mean-Field Langevin Dynamics and Energy Landscape of Neural Networks Kaitong Hu Zhenjie Ren David Siska Lukasz Szpruch MLT 60 108 0 19 May 2019
Mean Field Analysis of Deep Neural Networks Justin A. Sirignano K. Spiliopoulos 68 82 0 11 Mar 2019
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport Lénaïc Chizat Francis R. Bach OT 214 737 0 24 May 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 103 862 0 18 Apr 2018
Adding Gradient Noise Improves Learning for Very Deep Networks Arvind Neelakantan Luke Vilnis Quoc V. Le Ilya Sutskever Lukasz Kaiser Karol Kurach James Martens AI4CE ODL 83 545 0 21 Nov 2015
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 182 1,149 0 07 Dec 2013

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