Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2206.00743
Cited By
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
1 June 2022
Junchi Yang
Xiang Li
Niao He
ODL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization"
11 / 11 papers shown
Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
52
7
0
28 Jan 2025
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Quanqi Hu
Qi Qi
Zhaosong Lu
Tianbao Yang
39
2
0
28 May 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Yusu Hong
Junhong Lin
46
11
0
06 Feb 2024
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions
Bo Wang
Huishuai Zhang
Zhirui Ma
Wei Chen
37
49
0
29 May 2023
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
Junchi Yang
Xiang Li
Ilyas Fatkhullin
Niao He
39
15
0
21 May 2023
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang
Chunyu Xuan
Xinrui Wang
Siqi Zhang
Songcan Chen
28
7
0
07 Mar 2023
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li
Junchi Yang
Niao He
26
8
0
31 Oct 2022
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
Zehao Dou
Yuanzhi Li
31
13
0
29 Sep 2021
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
102
78
0
14 Feb 2021
A High Probability Analysis of Adaptive SGD with Momentum
Xiaoyun Li
Francesco Orabona
92
65
0
28 Jul 2020
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark W. Schmidt
Francis R. Bach
126
259
0
10 Dec 2012
1