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The First Optimal Algorithm for Smooth and
  Strongly-Convex-Strongly-Concave Minimax Optimization

The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization

11 May 2022
D. Kovalev
Alexander Gasnikov
ArXivPDFHTML

Papers citing "The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization"

10 / 10 papers shown
Title
Diffusion Stochastic Optimization for Min-Max Problems
Diffusion Stochastic Optimization for Min-Max Problems
H. Cai
Sulaiman A. Alghunaim
Ali H. Sayed
19
2
0
26 Jan 2024
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Xu Cai
Ahmet Alacaoglu
Jelena Diakonikolas
30
7
0
04 Oct 2023
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order
  Stochastic Approximation
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Jeongyeol Kwon
Dohyun Kwon
Steve Wright
Robert D. Nowak
26
25
0
04 Sep 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
13
2
0
06 Jan 2023
A first-order augmented Lagrangian method for constrained minimax
  optimization
A first-order augmented Lagrangian method for constrained minimax optimization
Zhaosong Lu
Sanyou Mei
21
6
0
05 Jan 2023
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
53
31
0
04 Jan 2023
An Optimal Algorithm for Strongly Convex Min-min Optimization
An Optimal Algorithm for Strongly Convex Min-min Optimization
Alexander Gasnikov
D. Kovalev
Grigory Malinovsky
16
1
0
29 Dec 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point
  Problems: A Survey
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
Aleksandr Beznosikov
Boris Polyak
Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
32
31
0
29 Aug 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
21
7
0
11 Aug 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
45
10
0
17 Jun 2022
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