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Variational Principles for Mirror Descent and Mirror Langevin Dynamics

Variational Principles for Mirror Descent and Mirror Langevin Dynamics

Belinda Tzen
Anant Raj
Maxim Raginsky
Francis R. Bach
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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
250
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