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1610.04578
Cited By
Improved Strongly Adaptive Online Learning using Coin Betting
14 October 2016
Kwang-Sung Jun
Francesco Orabona
Rebecca Willett
S. Wright
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Papers citing
"Improved Strongly Adaptive Online Learning using Coin Betting"
26 / 26 papers shown
Title
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
Stephen Pasteris
Chris Hicks
V. Mavroudis
Mark Herbster
18
1
0
31 May 2024
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
B. Moreno
Margaux Brégère
Pierre Gaillard
Nadia Oudjane
OffRL
39
0
0
30 May 2024
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
40
5
0
29 May 2024
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi-Hua Zhou
44
19
0
16 Sep 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
24
6
0
19 May 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar
Haiquan Wang
Caiming Xiong
Yu Bai
AI4TS
33
47
0
15 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
31
7
0
31 Jan 2023
Modifying Squint for Prediction with Expert Advice in a Changing Environment
Thom Neuteboom
T. Erven
24
1
0
14 Sep 2022
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu-Xiang Wang
24
16
0
18 Jun 2022
Adaptive Online Learning of Quantum States
Xinyi Chen
Elad Hazan
Tongyang Li
Zhou Lu
Xinzhao Wang
Rui Yang
18
13
0
01 Jun 2022
Adversarial Bandits against Arbitrary Strategies
Jung-hun Kim
Se-Young Yun
41
0
0
30 May 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang
Wei Jiang
Jinfeng Yi
Tianbao Yang
20
6
0
02 May 2022
Adaptive Gradient Methods with Local Guarantees
Zhou Lu
Wenhan Xia
Sanjeev Arora
Elad Hazan
ODL
22
9
0
02 Mar 2022
Parameter-free Mirror Descent
Andrew Jacobsen
Ashok Cutkosky
12
32
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-Hua Zhou
26
17
0
12 Feb 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
Dheeraj Baby
Yu-Xiang Wang
34
25
0
21 Jan 2022
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
Juncheng Wang
B. Liang
Min Dong
G. Boudreau
H. Abou-zeid
18
9
0
09 May 2021
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi-Hua Zhou
28
81
0
09 Mar 2021
Regret Bounds for Adaptive Nonlinear Control
Nicholas M. Boffi
Stephen Tu
Jean-Jacques E. Slotine
41
47
0
26 Nov 2020
LeadCache: Regret-Optimal Caching in Networks
Debjit Paria
Abhishek Sinha
18
25
0
17 Sep 2020
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang
G. Wang
Wei-Wei Tu
Zhi-Hua Zhou
ODL
15
18
0
26 Jun 2019
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang
Tie-Yan Liu
Zhi-Hua Zhou
ODL
27
45
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
16
16
0
29 Jan 2019
Online Learning for Non-Stationary A/B Tests
Andrés Munoz Medina
Sergei Vassilvitskii
Dong Yin
13
3
0
14 Feb 2018
An Online Convex Optimization Approach to Dynamic Network Resource Allocation
Tianyi Chen
Qing Ling
G. Giannakis
14
214
0
14 Jan 2017
Similarity Function Tracking using Pairwise Comparisons
Kristjan Greenewald
Stephen Kelley
Brandon Oselio
Alfred Hero
24
1
0
07 Jan 2017
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