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Online Learning with Optimism and Delay
v1v2v3v4 (latest)

Online Learning with Optimism and Delay

13 June 2021
Genevieve Flaspohler
Francesco Orabona
J. Cohen
Soukayna Mouatadid
Miruna Oprescu
Paulo Orenstein
Lester W. Mackey
ArXiv (abs)PDFHTML

Papers citing "Online Learning with Optimism and Delay"

27 / 27 papers shown
Title
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu
Emmanuel Esposito
Mengxiao Zhang
12
0
0
09 Jun 2025
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
Antoine Moulin
Emmanuel Esposito
Dirk van der Hoeven
52
0
0
02 Jun 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
N. Mhaisen
George Iosifidis
19
0
0
28 May 2025
Hybrid Real- and Complex-valued Neural Network Architecture
Hybrid Real- and Complex-valued Neural Network Architecture
Alex Young
L. V. Fiorio
Bo Yang
B. Karanov
Wim J. van Houtum
Ronald M. Aarts
81
0
0
04 Apr 2025
Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
Lingchan Bao
Tong Wei
Yuanyu Wan
96
0
0
13 Mar 2025
Bandit and Delayed Feedback in Online Structured Prediction
Bandit and Delayed Feedback in Online Structured Prediction
Yuki Shibukawa
Taira Tsuchiya
Shinsaku Sakaue
Kenji Yamanishi
OffRL
95
0
0
26 Feb 2025
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Yang Cai
Gabriele Farina
Julien Grand-Clément
Christian Kroer
Chung-Wei Lee
Haipeng Luo
Weiqiang Zheng
119
7
0
15 Jun 2024
Open Problem: Active Representation Learning
Open Problem: Active Representation Learning
Nikola Milosevic
Gesine Müller
Jan Huisken
Nico Scherf
69
1
0
06 Jun 2024
Non-stochastic Bandits With Evolving Observations
Non-stochastic Bandits With Evolving Observations
Yogev Bar-On
Yishay Mansour
79
1
0
27 May 2024
Optimistic Online Non-stochastic Control via FTRL
Optimistic Online Non-stochastic Control via FTRL
N. Mhaisen
Georgios Iosifidis
75
2
0
04 Apr 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Yuanyu Wan
Chang Yao
Mingli Song
Lijun Zhang
61
3
0
14 Feb 2024
Label Delay in Online Continual Learning
Label Delay in Online Continual Learning
Botos Csaba
Wenxuan Zhang
Matthias Muller
Ser-Nam Lim
Mohamed Elhoseiny
Philip Torr
Adel Bibi
CLL
69
1
0
01 Dec 2023
Sensor Allocation and Online-Learning-based Path Planning for Maritime
  Situational Awareness Enhancement: A Multi-Agent Approach
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach
Bach Long Nguyen
Anh-Dzung Doan
Tat-Jun Chin
Christophe Guettier
Surabhi Gupta
Estelle Parra
Ian Reid
Markus Wagner
30
1
0
06 Jul 2023
Optimal Rates for Bandit Nonstochastic Control
Optimal Rates for Bandit Nonstochastic Control
Y. Jennifer Sun
Stephen Newman
Elad Hazan
127
7
0
24 May 2023
Non-stationary Online Convex Optimization with Arbitrary Delays
Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan
Chang Yao
Min-Gyoo Song
Lijun Zhang
96
3
0
20 May 2023
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial
  Semi-Bandits, Linear Bandits, and MDPs
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
Dirk van der Hoeven
Lukas Zierahn
Tal Lancewicki
Aviv A. Rosenberg
Nicolò Cesa-Bianchi
83
6
0
15 May 2023
On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits
On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits
Jialin Yi
Milan Vojnović
65
3
0
30 Nov 2022
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
Ruicheng Ao
Shicong Cen
Yuejie Chi
73
5
0
16 Nov 2022
No-Regret Learning in Games with Noisy Feedback: Faster Rates and
  Adaptivity via Learning Rate Separation
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
Yu-Guan Hsieh
Kimon Antonakopoulos
Volkan Cevher
P. Mertikopoulos
67
28
0
13 Jun 2022
Projection-free Online Learning with Arbitrary Delays
Projection-free Online Learning with Arbitrary Delays
Yuanyu Wan
Yibo Wang
Chang Yao
Wei-Wei Tu
Lijun Zhang
81
2
0
11 Apr 2022
Optimistic Online Convex Optimization in Dynamic Environments
Optimistic Online Convex Optimization in Dynamic Environments
Qing-xin Meng
Jianwei Liu
12
0
0
28 Mar 2022
Synthetic Control As Online Linear Regression
Synthetic Control As Online Linear Regression
Jiafeng Chen
OffRL
54
16
0
17 Feb 2022
Isotuning With Applications To Scale-Free Online Learning
Isotuning With Applications To Scale-Free Online Learning
Laurent Orseau
Marcus Hutter
72
6
0
29 Dec 2021
Nonstochastic Bandits and Experts with Arm-Dependent Delays
Nonstochastic Bandits and Experts with Arm-Dependent Delays
Dirk van der Hoeven
Nicolò Cesa-Bianchi
68
17
0
02 Nov 2021
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and
  Benchmarking
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
Soukayna Mouatadid
Paulo Orenstein
Genevieve Flaspohler
Miruna Oprescu
J. Cohen
...
Sean Knight
Maria Geogdzhayeva
Sam Levang
E. Fraenkel
Lester W. Mackey
AI4TSAI4Cl
141
14
0
21 Sep 2021
On Anytime Learning at Macroscale
On Anytime Learning at Macroscale
Lucas Caccia
Jing Xu
Myle Ott
MarcÁurelio Ranzato
Ludovic Denoyer
88
27
0
17 Jun 2021
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity,
  and Optimism
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
AI4CE
95
30
0
21 Dec 2020
1