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Improved Particle Approximation Error for Mean Field Neural Networks

Improved Particle Approximation Error for Mean Field Neural Networks

24 May 2024
Atsushi Nitanda
ArXivPDFHTML

Papers citing "Improved Particle Approximation Error for Mean Field Neural Networks"

6 / 6 papers shown
Title
Mirror Mean-Field Langevin Dynamics
Mirror Mean-Field Langevin Dynamics
Anming Gu
Juno Kim
31
0
0
05 May 2025
Beyond Propagation of Chaos: A Stochastic Algorithm for Mean Field Optimization
Beyond Propagation of Chaos: A Stochastic Algorithm for Mean Field Optimization
Chandan Tankala
Dheeraj M. Nagaraj
Anant Raj
44
0
0
17 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
67
1
0
09 Feb 2025
Sampling from the Mean-Field Stationary Distribution
Sampling from the Mean-Field Stationary Distribution
Yunbum Kook
Matthew Shunshi Zhang
Sinho Chewi
Murat A. Erdogdu
Mufan Li
64
7
0
12 Feb 2024
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
68
64
0
25 Jan 2022
Trainability and Accuracy of Neural Networks: An Interacting Particle
  System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
59
118
0
02 May 2018
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