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Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax
  Optimization

Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization

1 June 2022
Junchi Yang
Xiang Li
Niao He
    ODL
ArXivPDFHTML

Papers citing "Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization"

9 / 9 papers shown
Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
50
6
0
28 Jan 2025
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Yusu Hong
Junhong Lin
38
10
0
06 Feb 2024
Two Sides of One Coin: the Limits of Untuned SGD and the Power of
  Adaptive Methods
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
Junchi Yang
Xiang Li
Ilyas Fatkhullin
Niao He
23
15
0
21 May 2023
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang
Chunyu Xuan
Xinrui Wang
Siqi Zhang
Songcan Chen
21
7
0
07 Mar 2023
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax
  Optimization
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li
Junchi Yang
Niao He
16
8
0
31 Oct 2022
On the One-sided Convergence of Adam-type Algorithms in Non-convex
  Non-concave Min-max Optimization
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
Zehao Dou
Yuanzhi Li
26
13
0
29 Sep 2021
Model-free Representation Learning and Exploration in Low-rank MDPs
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
98
78
0
14 Feb 2021
A High Probability Analysis of Adaptive SGD with Momentum
A High Probability Analysis of Adaptive SGD with Momentum
Xiaoyun Li
Francesco Orabona
79
64
0
28 Jul 2020
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
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
111
259
0
10 Dec 2012
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