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1902.07528
Cited By
Adaptive scale-invariant online algorithms for learning linear models
20 February 2019
Michal Kempka
W. Kotłowski
Manfred K. Warmuth
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Papers citing
"Adaptive scale-invariant online algorithms for learning linear models"
15 / 15 papers shown
Title
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
Jared Lawrence
Ari Kalinsky
Hannah Bradfield
Y. Carmon
Oliver Hinder
28
0
0
12 Jun 2025
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
108
6
0
29 May 2024
Mechanic: A Learning Rate Tuner
Ashok Cutkosky
Aaron Defazio
Harsh Mehta
OffRL
127
18
0
31 May 2023
Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang
Ashok Cutkosky
75
20
0
25 Oct 2022
Optimistic Optimisation of Composite Objective with Exponentiated Update
Weijia Shao
F. Sivrikaya
S. Albayrak
111
3
0
08 Aug 2022
Making SGD Parameter-Free
Y. Carmon
Oliver Hinder
98
47
0
04 May 2022
Implicit Parameter-free Online Learning with Truncated Linear Models
Keyi Chen
Ashok Cutkosky
Francesco Orabona
80
10
0
19 Mar 2022
Scale-free Unconstrained Online Learning for Curved Losses
J. Mayo
Hédi Hadiji
T. Erven
82
13
0
11 Feb 2022
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
Online Linear Optimization with Many Hints
Aditya Bhaskara
Ashok Cutkosky
Ravi Kumar
Manish Purohit
147
18
0
06 Oct 2020
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting
K. Chen
John Langford
Francesco Orabona
89
22
0
12 Jun 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning
Zakaria Mhammedi
Wouter M. Koolen
93
57
0
27 Feb 2020
Online Learning with Imperfect Hints
Aditya Bhaskara
Ashok Cutkosky
Ravi Kumar
Manish Purohit
121
58
0
11 Feb 2020
Adaptive Online Learning with Varying Norms
Ashok Cutkosky
40
0
0
10 Feb 2020
Matrix-Free Preconditioning in Online Learning
Ashok Cutkosky
Tamás Sarlós
ODL
96
16
0
29 May 2019
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