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Variational Principles for Mirror Descent and Mirror Langevin Dynamics

Variational Principles for Mirror Descent and Mirror Langevin Dynamics

16 March 2023
Belinda Tzen
Anant Raj
Maxim Raginsky
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Variational Principles for Mirror Descent and Mirror Langevin Dynamics"

6 / 6 papers shown
Title
Grams: Gradient Descent with Adaptive Momentum Scaling
Grams: Gradient Descent with Adaptive Momentum Scaling
Yang Cao
Xiaoyu Li
Zhao Song
ODL
198
3
0
22 Dec 2024
Cautious Optimizers: Improving Training with One Line of Code
Cautious Optimizers: Improving Training with One Line of Code
Kaizhao Liang
Lizhang Chen
B. Liu
Qiang Liu
ODL
253
9
0
25 Nov 2024
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
91
0
0
07 Oct 2024
Is All Learning (Natural) Gradient Descent?
Is All Learning (Natural) Gradient Descent?
Lucas Shoji
Kenta Suzuki
Leo Kozachkov
50
1
0
24 Sep 2024
Sinkhorn Flow: A Continuous-Time Framework for Understanding and
  Generalizing the Sinkhorn Algorithm
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm
Mohammad Reza Karimi
Ya-Ping Hsieh
Andreas Krause
80
1
0
28 Nov 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling
A Dynamical System View of Langevin-Based Non-Convex Sampling
Mohammad Reza Karimi
Ya-Ping Hsieh
Andreas Krause
78
4
0
25 Oct 2022
1