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Logistic Regression: The Importance of Being Improper

Logistic Regression: The Importance of Being Improper

25 March 2018
Dylan J. Foster
Satyen Kale
Haipeng Luo
M. Mohri
Karthik Sridharan
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Papers citing "Logistic Regression: The Importance of Being Improper"

4 / 4 papers shown
Title
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
134
6
0
19 Jul 2024
Fast rates in statistical and online learning
Fast rates in statistical and online learning
T. Erven
Peter Grünwald
Nishant A. Mehta
Mark D. Reid
Robert C. Williamson
151
109
0
09 Jul 2015
Non-strongly-convex smooth stochastic approximation with convergence
  rate O(1/n)
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis R. Bach
Eric Moulines
87
405
0
10 Jun 2013
Online Learning via Sequential Complexities
Online Learning via Sequential Complexities
Alexander Rakhlin
Karthik Sridharan
Ambuj Tewari
100
103
0
06 Jun 2010
1