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1802.04623
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Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity
13 February 2018
Dan Garber
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Papers citing
"Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity"
5 / 5 papers shown
Title
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
190
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08 May 2025
Introduction to Online Convex Optimization
Elad Hazan
OffRL
193
1,940
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07 Sep 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
280
1,221
0
16 Aug 2016
Efficient Second Order Online Learning by Sketching
Haipeng Luo
Alekh Agarwal
Nicolò Cesa-Bianchi
John Langford
81
96
0
06 Feb 2016
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark Schmidt
Francis R. Bach
190
261
0
10 Dec 2012
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