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MetaGrad: Multiple Learning Rates in Online Learning

29 April 2016

Papers citing "MetaGrad: Multiple Learning Rates in Online Learning"

36 / 36 papers shown

Title
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability Yu Zhang Peng Zhao Masashi Sugiyama 115 0 0 12 Jun 2025
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval Wenhao Yang Sifan Yang Lijun Zhang 65 0 0 26 May 2025
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi Zhou 126 22 0 16 Sep 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach Yu-Hu Yan Peng Zhao Zhiguang Zhou 72 9 0 17 Jul 2023
Non-stationary Online Convex Optimization with Arbitrary Delays Yuanyu Wan Chang Yao Min-Gyoo Song Lijun Zhang 96 3 0 20 May 2023
Universal Online Optimization in Dynamic Environments via Uniclass Prediction Arnold Salas 75 0 0 13 Feb 2023
Improved Dynamic Regret for Online Frank-Wolfe Yuanyu Wan Lijun Zhang Mingli Song 89 11 0 11 Feb 2023
Optimistic Meta-Gradients Sebastian Flennerhag Tom Zahavy Brendan O'Donoghue Hado van Hasselt András Gyorgy Satinder Singh 93 3 0 09 Jan 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution Mengxiao Zhang Shiuan-Kang Chen Haipeng Luo Yingfei Wang 44 2 0 23 Oct 2022
Dynamic Regret of Adaptive Gradient Methods for Strongly Convex Problems Parvin Nazari E. Khorram ODL 116 3 0 04 Sep 2022
Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method Aaron Defazio Baoyu Zhou Lin Xiao ODL 55 5 0 14 Jun 2022
Optimistic Online Convex Optimization in Dynamic Environments Qing-xin Meng Jianwei Liu 20 0 0 28 Mar 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 122 50 0 29 Dec 2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 154 11 0 28 Dec 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 93 58 0 09 Sep 2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints Xinlei Yi Xiuxian Li Tao Yang Lihua Xie Tianyou Chai Karl H. Johansson 74 47 0 09 Jun 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning T. Erven Wouter M. Koolen Dirk van der Hoeven ODL 107 23 0 12 Feb 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications Liyu Chen Haipeng Luo Chen-Yu Wei 115 45 0 01 Feb 2021
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting Olivier Wintenberger AI4TS 107 8 0 01 Feb 2021
Dynamic Regret of Convex and Smooth Functions Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 104 105 0 07 Jul 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi Wouter M. Koolen 80 57 0 27 Feb 2020
Prediction with Corrupted Expert Advice I Zaghloul Amir Idan Attias Tomer Koren Roi Livni Yishay Mansour 69 40 0 24 Feb 2020
Adaptive Online Learning with Varying Norms Ashok Cutkosky 34 0 0 10 Feb 2020
Locally-Adaptive Nonparametric Online Learning Ilja Kuzborskij Nicolò Cesa-Bianchi 62 6 0 05 Feb 2020
Learning The Best Expert Efficiently Daron Anderson D. Leith 34 1 0 11 Nov 2019
Bandit Convex Optimization in Non-stationary Environments Peng Zhao G. Wang Lijun Zhang Zhi Zhou 112 44 0 29 Jul 2019
Adaptive Online Learning for Gradient-Based Optimizers Saeed Masoudian A. Arabzadeh M. J. Siavoshani Milad Jalal Alireza Amouzad ODL 25 0 0 01 Jun 2019
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization Guanghui Wang Shiyin Lu Lijun Zhang ODL 84 23 0 15 May 2019
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning Zakaria Mhammedi Wouter M. Koolen T. Erven 94 36 0 27 Feb 2019
Adaptive Online Learning in Dynamic Environments Lijun Zhang Shiyin Lu Zhi Zhou 86 185 0 25 Oct 2018
Best of many worlds: Robust model selection for online supervised learning Vidya Muthukumar Mitas Ray A. Sahai Peter L. Bartlett OffRL 77 8 0 22 May 2018
The Many Faces of Exponential Weights in Online Learning Dirk van der Hoeven T. Erven W. Kotłowski OffRL 79 50 0 21 Feb 2018
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces Ashok Cutkosky Francesco Orabona 92 148 0 17 Feb 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 122 656 0 08 Feb 2018
More Adaptive Algorithms for Adversarial Bandits Chen-Yu Wei Haipeng Luo 183 185 0 10 Jan 2018
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning Wouter M. Koolen Peter Grünwald T. Erven 80 38 0 20 May 2016