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1610.04578
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Improved Strongly Adaptive Online Learning using Coin Betting
14 October 2016
Kwang-Sung Jun
Francesco Orabona
Rebecca Willett
S. Wright
Re-assign community
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Papers citing
"Improved Strongly Adaptive Online Learning using Coin Betting"
50 / 57 papers shown
Title
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
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Adaptive Estimation and Learning under Temporal Distribution Shift
Dheeraj Baby
Yifei Tang
Hieu Duy Nguyen
Yu Wang
Rohit Pyati
OOD
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102
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21 May 2025
Score-based change point detection via tracking the best of infinitely many experts
Anna Markovich
Nikita Puchkin
85
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26 Aug 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
Stephen Pasteris
Chris Hicks
V. Mavroudis
Mark Herbster
184
1
0
31 May 2024
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
B. Moreno
Margaux Brégère
Pierre Gaillard
Nadia Oudjane
OffRL
123
1
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30 May 2024
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
152
9
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29 May 2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
Chengli Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Feng Chen
130
9
0
19 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
132
10
0
05 Feb 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu
Qiuyi Zhang
Xinyi Chen
Fred Zhang
David P. Woodruff
Elad Hazan
76
0
0
17 Jan 2024
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback
Michael I. Jordan
Tianyi Lin
Zhengyuan Zhou
157
4
0
21 Oct 2023
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
180
29
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16 Sep 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Nika Haghtalab
Chara Podimata
Kunhe Yang
124
27
0
05 Jun 2023
Towards Fair Disentangled Online Learning for Changing Environments
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Christan Earl Grant
Feng Chen
105
17
0
31 May 2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
Yibo Wang
Wenhao Yang
Wei Jiang
Shiyin Lu
Bing Wang
Haihong Tang
Yuanyu Wan
Lijun Zhang
132
12
0
19 May 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar
Haiquan Wang
Caiming Xiong
Yu Bai
AI4TS
229
64
0
15 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
Ashok Cutkosky
Harsh Mehta
Francesco Orabona
165
38
0
07 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Yu Zhang
Zhenyu Zhang
Peng Zhao
Masashi Sugiyama
OOD
145
13
0
06 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
223
12
0
31 Jan 2023
Projection-free Adaptive Regret with Membership Oracles
Zhou Lu
Nataly Brukhim
Paula Gradu
Elad Hazan
139
16
0
22 Nov 2022
On Accelerated Perceptrons and Beyond
Guanghui Wang
Rafael Hanashiro
E. Guha
Jacob D. Abernethy
100
8
0
17 Oct 2022
Modifying Squint for Prediction with Expert Advice in a Changing Environment
Thom Neuteboom
T. Erven
101
1
0
14 Sep 2022
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization
Zhou Lu
Elad Hazan
137
4
0
01 Jul 2022
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu Wang
93
17
0
18 Jun 2022
Adaptive Online Learning of Quantum States
Xinyi Chen
Elad Hazan
Tongyang Li
Zhou Lu
Xinzhao Wang
Rui Yang
109
17
0
01 Jun 2022
Adversarial Bandits against Arbitrary Strategies
Jung-hun Kim
Se-Young Yun
145
0
0
30 May 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Feng Chen
CLL
129
24
0
20 May 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang
Wei Jiang
Jinfeng Yi
Tianbao Yang
122
10
0
02 May 2022
Adaptive Gradient Methods with Local Guarantees
Zhou Lu
Wenhan Xia
Sanjeev Arora
Elad Hazan
ODL
175
11
0
02 Mar 2022
Parameter-free Mirror Descent
Andrew Jacobsen
Ashok Cutkosky
209
37
0
26 Feb 2022
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits
Haipeng Luo
Mengxiao Zhang
Peng Zhao
Zhi Zhou
114
18
0
12 Feb 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
Dheeraj Baby
Yu Wang
133
30
0
21 Jan 2022
Improved Regret Bounds for Tracking Experts with Memory
James Robinson
Mark Herbster
71
3
0
24 Jun 2021
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
Juncheng Wang
B. Liang
Min Dong
G. Boudreau
H. Abou-zeid
145
11
0
09 May 2021
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi Zhou
119
89
0
09 Mar 2021
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
Chen-Yu Wei
Haipeng Luo
OffRL
221
116
0
10 Feb 2021
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
153
16
0
02 Feb 2021
Online Caching with Optimal Switching Regret
S. Mukhopadhyay
Abhishek Sinha
83
25
0
18 Jan 2021
Regret Bounds for Adaptive Nonlinear Control
Nicholas M. Boffi
Stephen Tu
Jean-Jacques E. Slotine
145
48
0
26 Nov 2020
Estimating means of bounded random variables by betting
Ian Waudby-Smith
Aaditya Ramdas
379
185
0
19 Oct 2020
LeadCache: Regret-Optimal Caching in Networks
Debjit Paria
Abhishek Sinha
122
25
0
17 Sep 2020
Minimizing Dynamic Regret and Adaptive Regret Simultaneously
Lijun Zhang
Shiyin Lu
Tianbao Yang
135
46
0
06 Feb 2020
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
138
49
0
29 Jul 2019
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang
G. Wang
Wei-Wei Tu
Zhi Zhou
ODL
150
21
0
26 Jun 2019
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization
Guanghui Wang
Shiyin Lu
Lijun Zhang
ODL
113
25
0
15 May 2019
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang
Tie-Yan Liu
Zhi Zhou
ODL
173
47
0
26 Apr 2019
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Wendi Wu
Zongren Li
Yawei Zhao
Chenkai Yu
P. Zhao
Ji Liu
FedML
180
17
0
29 Jan 2019
Adaptive Online Learning in Dynamic Environments
Lijun Zhang
Shiyin Lu
Zhi Zhou
159
203
0
25 Oct 2018
Proximal Online Gradient is Optimum for Dynamic Regret
Yawei Zhao
Shuang Qiu
Ji Liu
231
7
0
08 Oct 2018
Multi-agent online learning in time-varying games
Benoit Duvocelle
P. Mertikopoulos
Mathias Staudigl
Dries Vermeulen
196
39
0
10 Sep 2018
Online Prediction of Switching Graph Labelings with Cluster Specialists
Mark Herbster
James Robinson
114
0
0
17 Jun 2018
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