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Online Learning with Optimism and Delay

13 June 2021

Papers citing "Online Learning with Optimism and Delay"

27 / 27 papers shown

Title
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Hao Qiu Emmanuel Esposito Mengxiao Zhang 10 0 0 09 Jun 2025
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses Antoine Moulin Emmanuel Esposito Dirk van der Hoeven 50 0 0 02 Jun 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning N. Mhaisen George Iosifidis 14 0 0 28 May 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 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 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 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 Nikola Milosevic Gesine Müller Jan Huisken Nico Scherf 69 1 0 06 Jun 2024
Non-stochastic Bandits With Evolving Observations Yogev Bar-On Yishay Mansour 79 1 0 27 May 2024
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 Yuanyu Wan Chang Yao Mingli Song Lijun Zhang 61 3 0 14 Feb 2024
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 Bach Long Nguyen Anh-Dzung Doan Tat-Jun Chin Christophe Guettier Surabhi Gupta Estelle Parra Ian Reid Markus Wagner 28 1 0 06 Jul 2023
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 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 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 Jialin Yi Milan Vojnović 65 3 0 30 Nov 2022
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 Yu-Guan Hsieh Kimon Antonakopoulos Volkan Cevher P. Mertikopoulos 67 28 0 13 Jun 2022
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 Qing-xin Meng Jianwei Liu 10 0 0 28 Mar 2022
Synthetic Control As Online Linear Regression Jiafeng Chen OffRL 54 16 0 17 Feb 2022
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 Dirk van der Hoeven Nicolò Cesa-Bianchi 68 17 0 02 Nov 2021
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 AI4TS AI4Cl 141 14 0 21 Sep 2021
On Anytime Learning at Macroscale Lucas Caccia Jing Xu Myle Ott MarcÁurelio Ranzato Ludovic Denoyer 85 27 0 17 Jun 2021
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos AI4CE 86 30 0 21 Dec 2020