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MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
v1v2 (latest)

MetaGrad: Adaptation using Multiple Learning Rates in Online Learning

12 February 2021
T. Erven
Wouter M. Koolen
Dirk van der Hoeven
    ODL
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Non-stationary Bandit Convex Optimization: A Comprehensive Study
Non-stationary Bandit Convex Optimization: A Comprehensive Study
Xiaoqi Liu
Dorian Baudry
Julian Zimmert
Patrick Rebeschini
Arya Akhavan
74
0
0
03 Jun 2025
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
Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method
Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method
Aaron Defazio
Baoyu Zhou
Lin Xiao
ODL
55
5
0
14 Jun 2022
A Regret-Variance Trade-Off in Online Learning
A Regret-Variance Trade-Off in Online Learning
Dirk van der Hoeven
Nikita Zhivotovskiy
Nicolò Cesa-Bianchi
56
7
0
06 Jun 2022
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with
  Feedback Graphs
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Chloé Rouyer
Dirk van der Hoeven
Nicolò Cesa-Bianchi
Yevgeny Seldin
90
17
0
01 Jun 2022
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