ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.04552
  4. Cited By
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial
  Online Convex Optimization

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization

9 February 2023
Sijia Chen
Yu-Jie Zhang
Wei-Wei Tu
Peng Zhao
Lijun Zhang
ArXivPDFHTML

Papers citing "Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization"

12 / 12 papers shown
Title
Hybrid Real- and Complex-valued Neural Network Architecture
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young
L. V. Fiorio
Bo Yang
B. Karanov
Wim J. van Houtum
Ronald M. Aarts
31
0
0
04 Apr 2025
Online Optimization for Learning to Communicate over Time-Correlated Channels
Online Optimization for Learning to Communicate over Time-Correlated Channels
Zheshun Wu
Junfan Li
Zenglin Xu
Sumei Sun
Jie Liu
32
0
0
01 Sep 2024
Universal Online Convex Optimization with $1$ Projection per Round
Universal Online Convex Optimization with 111 Projection per Round
Wenhao Yang
Yibo Wang
Peng Zhao
Lijun Zhang
34
2
0
30 May 2024
Online conformal prediction with decaying step sizes
Online conformal prediction with decaying step sizes
Anastasios Nikolas Angelopoulos
Rina Foygel Barber
Stephen Bates
24
22
0
02 Feb 2024
Best of Both Worlds Guarantees for Smoothed Online Quadratic
  Optimization
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
Neelkamal Bhuyan
Debankur Mukherjee
Adam Wierman
14
1
0
31 Oct 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online
  Ensemble Approach
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
Yu-Hu Yan
Peng Zhao
Zhiguang Zhou
21
8
0
17 Jul 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial
  Participants in An Adversarial Environment
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment
Xingrong Dong
Zhaoxian Wu
Qing Ling
Zhi Tian
AAML
38
9
0
16 Jul 2023
Learnability with Time-Sharing Computational Resource Concerns
Learnability with Time-Sharing Computational Resource Concerns
Zhiwei Zhou
16
7
0
03 May 2023
Accelerated Rates between Stochastic and Adversarial Online Convex
  Optimization
Accelerated Rates between Stochastic and Adversarial Online Convex Optimization
Sarah Sachs
Hédi Hadiji
T. Erven
Cristóbal Guzmán
29
6
0
06 Mar 2023
On Optimal Robustness to Adversarial Corruption in Online Decision
  Problems
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
Shinji Ito
42
22
0
22 Sep 2021
Optimal Dynamic Regret in Exp-Concave Online Learning
Optimal Dynamic Regret in Exp-Concave Online Learning
Dheeraj Baby
Yu-Xiang Wang
42
43
0
23 Apr 2021
A Simple Convergence Proof of Adam and Adagrad
A Simple Convergence Proof of Adam and Adagrad
Alexandre Défossez
Léon Bottou
Francis R. Bach
Nicolas Usunier
56
143
0
05 Mar 2020
1