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No-Regret Dynamics in the Fenchel Game: A Unified Framework for
  Algorithmic Convex Optimization

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
ArXivPDFHTML

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
Negative Stepsizes Make Gradient-Descent-Ascent Converge
Henry Shugart
Jason M. Altschuler
25
0
0
02 May 2025
Functional Acceleration for Policy Mirror Descent
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
Dealing with unbounded gradients in stochastic saddle-point optimization
Gergely Neu
Nneka Okolo
37
3
0
21 Feb 2024
Acceleration in Policy Optimization
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
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
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
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
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
Jun-Kun Wang
Andre Wibisono
23
9
0
15 Feb 2023
Optimistic Meta-Gradients
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
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
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
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
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
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
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
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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