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No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization
22 November 2021
Jun-Kun Wang
Jacob D. Abernethy
Kfir Y. Levy
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Papers citing
"No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization"
16 / 16 papers shown
Title
Negative Stepsizes Make Gradient-Descent-Ascent Converge
Henry Shugart
Jason M. Altschuler
25
0
0
02 May 2025
Functional Acceleration for Policy Mirror Descent
Veronica Chelu
Doina Precup
30
0
0
23 Jul 2024
Dealing with unbounded gradients in stochastic saddle-point optimization
Gergely Neu
Nneka Okolo
37
3
0
21 Feb 2024
Acceleration in Policy Optimization
Veronica Chelu
Tom Zahavy
A. Guez
Doina Precup
Sebastian Flennerhag
45
0
0
18 Jun 2023
Solving Robust MDPs through No-Regret Dynamics
E. Guha
30
0
0
30 May 2023
Faster Margin Maximization Rates for Generic and Adversarially Robust Optimization Methods
Guanghui Wang
Zihao Hu
Claudio Gentile
Vidya Muthukumar
Jacob D. Abernethy
30
0
0
27 May 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
Kfir Y. Levy
Kfir Y. Levy
FedML
45
2
0
09 Apr 2023
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
Jun-Kun Wang
Andre Wibisono
23
9
0
15 Feb 2023
Optimistic Meta-Gradients
Sebastian Flennerhag
Tom Zahavy
Brendan O'Donoghue
Hado van Hasselt
András Gyorgy
Satinder Singh
37
3
0
09 Jan 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen
Ching-An Cheng
OffRL
20
2
0
06 Jan 2023
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
Jun-Kun Wang
Andre Wibisono
35
7
0
18 Oct 2022
On Accelerated Perceptrons and Beyond
Guanghui Wang
Rafael Hanashiro
E. Guha
Jacob D. Abernethy
21
7
0
17 Oct 2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out
Jun-Kun Wang
Chi-Heng Lin
Andre Wibisono
Bin Hu
32
20
0
22 Jun 2022
Acceleration Methods
Alexandre d’Aspremont
Damien Scieur
Adrien B. Taylor
149
97
0
23 Jan 2021
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
108
1,154
0
04 Mar 2015
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Dan Garber
Elad Hazan
61
94
0
20 Jan 2013
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