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2002.02085
Cited By
Minimizing Dynamic Regret and Adaptive Regret Simultaneously
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
6 February 2020
Lijun Zhang
Shiyin Lu
Tianbao Yang
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Papers citing
"Minimizing Dynamic Regret and Adaptive Regret Simultaneously"
32 / 32 papers shown
Non-stationary Bandit Convex Optimization: A Comprehensive Study
Xiaoqi Liu
Dorian Baudry
Julian Zimmert
Patrick Rebeschini
Arya Akhavan
277
3
0
03 Jun 2025
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young
L. V. Fiorio
Bo Yang
B. Karanov
Wim J. van Houtum
Ronald M. Aarts
315
0
0
04 Apr 2025
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
Chengli Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Feng Chen
287
9
0
19 Feb 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
International Conference on Learning Representations (ICLR), 2024
Zhou Lu
Qiuyi Zhang
Xinyi Chen
Fred Zhang
David P. Woodruff
Elad Hazan
262
0
0
17 Jan 2024
Online Convex Optimization with Switching Cost and Delayed Gradients
Spandan Senapati
Rahul Vaze
254
4
0
18 Oct 2023
Efficient Methods for Non-stationary Online Learning
Neural Information Processing Systems (NeurIPS), 2023
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
460
36
0
16 Sep 2023
Towards Fair Disentangled Online Learning for Changing Environments
Knowledge Discovery and Data Mining (KDD), 2023
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Christan Earl Grant
Feng Chen
259
19
0
31 May 2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yibo Wang
Wenhao Yang
Wei Jiang
Shiyin Lu
Bing Wang
Haihong Tang
Yuanyu Wan
Lijun Zhang
371
17
0
19 May 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Neural Information Processing Systems (NeurIPS), 2023
Yu Zhang
Zhenyu Zhang
Peng Zhao
Masashi Sugiyama
OOD
417
18
0
06 Feb 2023
On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization
International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2022
R. Vaze
309
6
0
24 Jan 2023
On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback
Yining Wang
198
7
0
11 Oct 2022
Event-Triggered Time-Varying Bayesian Optimization
Paul Brunzema
Alexander von Rohr
Friedrich Solowjow
Sebastian Trimpe
441
11
0
23 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
669
15
0
06 Jul 2022
Adapting to Online Label Shift with Provable Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Yong Bai
Yu Zhang
Peng Zhao
Masashi Sugiyama
Zhi Zhou
OOD
424
41
0
05 Jul 2022
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization
Zhou Lu
Elad Hazan
485
4
0
01 Jul 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Knowledge Discovery and Data Mining (KDD), 2022
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Feng Chen
CLL
279
26
0
20 May 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Neural Information Processing Systems (NeurIPS), 2022
Lijun Zhang
Wei Jiang
Jinfeng Yi
Tianbao Yang
297
12
0
02 May 2022
A Survey on Distributed Online Optimization and Game
Xiuxian Li
Lihua Xie
Na Li
OffRL
325
5
0
01 May 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
International Conference on Machine Learning (ICML), 2022
Pier Giuseppe Sessa
Maryam Kamgarpour
Andreas Krause
294
22
0
14 Mar 2022
Adaptive Gradient Methods with Local Guarantees
Zhou Lu
Wenhan Xia
Sanjeev Arora
Elad Hazan
ODL
597
12
0
02 Mar 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
Journal of machine learning research (JMLR), 2021
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
420
88
0
29 Dec 2021
Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses
Kaan Gokcesu
Hakan Gokcesu
148
1
0
28 Sep 2021
Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles
Kaan Gokcesu
Hakan Gokcesu
165
10
0
13 Aug 2021
A Simple Approach for Non-stationary Linear Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi Zhou
337
97
0
09 Mar 2021
Revisiting Smoothed Online Learning
Neural Information Processing Systems (NeurIPS), 2021
Lijun Zhang
Wei Jiang
Shiyin Lu
Tianbao Yang
446
37
0
13 Feb 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Peng Zhao
Yu-Hu Yan
Yu Wang
Zhi Zhou
643
54
0
07 Feb 2021
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
323
18
0
02 Feb 2021
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments
Kaan Gokcesu
Hakan Gokcesu
175
17
0
19 Sep 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments
Yingjie Fei
Zhuoran Yang
Zhaoran Wang
Qiaomin Xie
281
67
0
30 Jun 2020
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
Ting-Jui Chang
Shahin Shahrampour
ODL
237
4
0
06 Jun 2020
Bandit Convex Optimization in Non-stationary Environments
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
251
58
0
29 Jul 2019
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Neural Information Processing Systems (NeurIPS), 2019
Lijun Zhang
G. Wang
Wei-Wei Tu
Zhi Zhou
ODL
343
22
0
26 Jun 2019
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