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Improved Strongly Adaptive Online Learning using Coin Betting

Improved Strongly Adaptive Online Learning using Coin Betting

14 October 2016
Kwang-Sung Jun
Francesco Orabona
Rebecca Willett
S. Wright
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu-Xiang Wang
24
16
0
18 Jun 2022
Adaptive Online Learning of Quantum States
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Similarity Function Tracking using Pairwise Comparisons
Kristjan Greenewald
Stephen Kelley
Brandon Oselio
Alfred Hero
24
1
0
07 Jan 2017
1