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Lipschitz Adaptivity with Multiple Learning Rates in Online Learning
v1v2 (latest)

Lipschitz Adaptivity with Multiple Learning Rates in Online Learning

27 February 2019
Zakaria Mhammedi
Wouter M. Koolen
T. Erven
ArXiv (abs)PDFHTML

Papers citing "Lipschitz Adaptivity with Multiple Learning Rates in Online Learning"

13 / 13 papers shown
Title
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
126
22
0
16 Sep 2023
Mechanic: A Learning Rate Tuner
Mechanic: A Learning Rate Tuner
Ashok Cutkosky
Aaron Defazio
Harsh Mehta
OffRL
127
18
0
31 May 2023
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization
Zakaria Mhammedi
Khashayar Gatmiry
55
7
0
02 Nov 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
Exploiting the Curvature of Feasible Sets for Faster Projection-Free
  Online Learning
Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning
Zakaria Mhammedi
103
9
0
23 May 2022
Isotuning With Applications To Scale-Free Online Learning
Isotuning With Applications To Scale-Free Online Learning
Laurent Orseau
Marcus Hutter
76
6
0
29 Dec 2021
Regret and Cumulative Constraint Violation Analysis for Online Convex
  Optimization with Long Term Constraints
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
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
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications
Liyu Chen
Haipeng Luo
Chen-Yu Wei
115
45
0
01 Feb 2021
CRPS Learning
CRPS Learning
Jonathan Berrisch
F. Ziel
117
27
0
01 Feb 2021
Stochastic Online Convex Optimization. Application to probabilistic time
  series forecasting
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting
Olivier Wintenberger
AI4TS
107
8
0
01 Feb 2021
Lipschitz and Comparator-Norm Adaptivity in Online Learning
Lipschitz and Comparator-Norm Adaptivity in Online Learning
Zakaria Mhammedi
Wouter M. Koolen
80
57
0
27 Feb 2020
Locally-Adaptive Nonparametric Online Learning
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij
Nicolò Cesa-Bianchi
62
6
0
05 Feb 2020
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