Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities

22 January 2020

Papers citing "Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities"

8 / 8 papers shown

Title
Gradient-Free Method for Heavily Constrained Nonconvex Optimization Wanli Shi Hongchang Gao Bin Gu 18 5 0 31 Aug 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 49 2 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 33 2 0 05 Jun 2024
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov Eduard A. Gorbunov Hugo Berard Nicolas Loizou 19 48 0 15 Feb 2022
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 21 224 0 11 Jun 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems Dionysios S. Kalogerias Mark Eisen George J. Pappas Alejandro Ribeiro 21 13 0 10 Nov 2019
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017
Kernel-based methods for bandit convex optimization Sébastien Bubeck Ronen Eldan Y. Lee 84 163 0 11 Jul 2016