ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.05913
  4. Cited By
Gradient-Free Methods for Saddle-Point Problem
v1v2v3v4 (latest)

Gradient-Free Methods for Saddle-Point Problem

12 May 2020
Aleksandr Beznosikov
Abdurakhmon Sadiev
Alexander Gasnikov
ArXiv (abs)PDFHTML

Papers citing "Gradient-Free Methods for Saddle-Point Problem"

10 / 10 papers shown
EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization
EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization
Chinmay Maheshwari
Chinmay Pimpalkhare
Debasish Chatterjee
140
1
0
17 Aug 2025
On Corruption-Robustness in Performative Reinforcement Learning
On Corruption-Robustness in Performative Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
441
6
0
08 May 2025
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax ProblemsJournal of Scientific Computing (J. Sci. Comput.), 2024
Jun-Lin Wang
Zi Xu
502
3
0
24 Nov 2024
Accelerated zero-order SGD under high-order smoothness and
  overparameterized regime
Accelerated zero-order SGD under high-order smoothness and overparameterized regimeNelineinaya Dinamika (ND), 2024
Georgii Bychkov
D. Dvinskikh
Anastasia Antsiferova
Alexander Gasnikov
Aleksandr Lobanov
304
1
0
21 Nov 2024
A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
Junlin Wang
Junnan Yang
Zi Xu
387
2
0
04 Jul 2024
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Hui-Li Zhang
Zi Xu
Yuhong Dai
360
1
0
26 Jan 2024
Iterative Minimax Games with Coupled Linear Constraints
Iterative Minimax Games with Coupled Linear Constraints
Hui-Li Zhang
Junlin Wang
Zi Xu
668
4
0
09 Dec 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient
  Methods
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient MethodsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Aleksandr Beznosikov
Eduard A. Gorbunov
Hugo Berard
Nicolas Loizou
385
61
0
15 Feb 2022
Derivative-free Alternating Projection Algorithms for General
  Nonconvex-Concave Minimax Problems
Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
Zi Xu
Ziqi Wang
Jingjing Shen
Yuhong Dai
635
17
0
01 Aug 2021
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to
  Decision-Dependent Risk Minimization
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization
C. Maheshwari
Chih-Yuan Chiu
Eric Mazumdar
S. Shankar Sastry
Lillian J. Ratliff
212
31
0
16 Jun 2021
1
Page 1 of 1