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Minimizing Dynamic Regret and Adaptive Regret Simultaneously

Minimizing Dynamic Regret and Adaptive Regret Simultaneously

6 February 2020
Lijun Zhang
Shiyin Lu
Tianbao Yang
ArXiv (abs)PDFHTML

Papers citing "Minimizing Dynamic Regret and Adaptive Regret Simultaneously"

17 / 17 papers shown
Title
Non-stationary Bandit Convex Optimization: A Comprehensive Study
Non-stationary Bandit Convex Optimization: A Comprehensive Study
Xiaoqi Liu
Dorian Baudry
Julian Zimmert
Patrick Rebeschini
Arya Akhavan
76
0
0
03 Jun 2025
Dynamic Environment Responsive Online Meta-Learning with Fairness
  Awareness
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
Chengli Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Feng Chen
96
7
0
19 Feb 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu
Qiuyi Zhang
Xinyi Chen
Fred Zhang
David P. Woodruff
Elad Hazan
56
0
0
17 Jan 2024
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
126
22
0
16 Sep 2023
On Dynamic Regret and Constraint Violations in Constrained Online Convex
  Optimization
On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization
R. Vaze
109
4
0
24 Jan 2023
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
148
12
0
06 Jul 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang
Wei Jiang
Jinfeng Yi
Tianbao Yang
92
7
0
02 May 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic
  Equilibrium Computation
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Pier Giuseppe Sessa
Maryam Kamgarpour
Andreas Krause
60
17
0
14 Mar 2022
Adaptive Gradient Methods with Local Guarantees
Adaptive Gradient Methods with Local Guarantees
Zhou Lu
Wenhan Xia
Sanjeev Arora
Elad Hazan
ODL
107
10
0
02 Mar 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for
  Online Convex Optimization
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
122
50
0
29 Dec 2021
A Simple Approach for Non-stationary Linear Bandits
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi Zhou
80
85
0
09 Mar 2021
Revisiting Smoothed Online Learning
Revisiting Smoothed Online Learning
Lijun Zhang
Wei Jiang
Shiyin Lu
Tianbao Yang
104
28
0
13 Feb 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu Wang
Zhi Zhou
77
48
0
07 Feb 2021
Adversarial Tracking Control via Strongly Adaptive Online Learning with
  Memory
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
94
15
0
02 Feb 2021
Dynamic Regret of Policy Optimization in Non-stationary Environments
Dynamic Regret of Policy Optimization in Non-stationary Environments
Yingjie Fei
Zhuoran Yang
Zhaoran Wang
Qiaomin Xie
93
56
0
30 Jun 2020
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly
  Convex and Smooth Problems
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
Ting-Jui Chang
Shahin Shahrampour
ODL
58
4
0
06 Jun 2020
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
112
44
0
29 Jul 2019
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