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2001.07819
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Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
Journal of Global Optimization (JGO), 2020
22 January 2020
Zhongruo Wang
Krishnakumar Balasubramanian
Shiqian Ma
Meisam Razaviyayn
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Papers citing
"Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities"
17 / 17 papers shown
ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
Lejs Deen Behric
Liang Zhang
Bingcong Li
K. K. Thekumparampil
167
0
0
04 Nov 2025
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm
Amir Ali Farzin
Yuen-Man Pun
Philipp Braun
Antoine Lesage-Landry
Youssef Diouane
Iman Shames
333
4
0
10 Apr 2025
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
Shubhankar Agarwal
Hamzah I. Khan
Sandeep Chinchali
David Fridovich-Keil
386
1
0
23 Mar 2025
Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
Reza Shirkavand
Qi He
Qi He
Heng-Chiao Huang
ALM
742
1
0
05 Feb 2025
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
International Conference on Learning Representations (ICLR), 2024
Zeman Li
Xinwei Zhang
Peilin Zhong
Yuan Deng
Meisam Razaviyayn
Vahab Mirrokni
361
11
0
09 Oct 2024
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
International Conference on Machine Learning (ICML), 2024
Wanli Shi
Hongchang Gao
Bin Gu
285
5
0
31 Aug 2024
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization
Zhihao Gu
Zi Xu
374
1
0
22 Aug 2024
Adversarial Machine Unlearning
Zonglin Di
Sixie Yu
Yevgeniy Vorobeychik
Yang Liu
223
13
0
11 Jun 2024
Combinatorial Optimization with Automated Graph Neural Networks
Yang Liu
Peng Zhang
Yang Gao
Chuan Zhou
Zhao Li
Hongyang Chen
AI4CE
GNN
275
7
0
05 Jun 2024
Two trust region type algorithms for solving nonconvex-strongly concave minimax problems
Tongliang Yao
Zi Xu
368
5
0
15 Feb 2024
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Liang Zhang
Bingcong Li
K. K. Thekumparampil
Sewoong Oh
Niao He
524
24
0
14 Oct 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
International Conference on Machine Learning (ICML), 2023
Peiyao Xiao
Kaiyi Ji
FedML
295
17
0
09 Feb 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Aleksandr Beznosikov
Eduard A. Gorbunov
Hugo Berard
Nicolas Loizou
410
62
0
15 Feb 2022
Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
Zi Xu
Ziqi Wang
Jingjing Shen
Yuhong Dai
671
17
0
01 Aug 2021
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
374
314
0
11 Jun 2020
Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Babak Barazandeh
Meisam Razaviyayn
251
24
0
18 Mar 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Dionysios S. Kalogerias
Mark Eisen
George J. Pappas
Alejandro Ribeiro
289
17
0
10 Nov 2019
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