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Efficient online algorithms for fast-rate regret bounds under sparsity

Efficient online algorithms for fast-rate regret bounds under sparsity

23 May 2018
Pierre Gaillard
Olivier Wintenberger
ArXiv (abs)PDFHTML

Papers citing "Efficient online algorithms for fast-rate regret bounds under sparsity"

6 / 6 papers shown
Title
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
198
1,940
0
07 Sep 2019
Combining Adversarial Guarantees and Stochastic Fast Rates in Online
  Learning
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter M. Koolen
Peter Grünwald
T. Erven
69
38
0
20 May 2016
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
199
109
0
09 Jul 2015
Online Nonparametric Regression with General Loss Functions
Online Nonparametric Regression with General Loss Functions
Alexander Rakhlin
Karthik Sridharan
58
34
0
26 Jan 2015
Lower bounds on the performance of polynomial-time algorithms for sparse
  linear regression
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression
Yuchen Zhang
Martin J. Wainwright
Michael I. Jordan
182
130
0
09 Feb 2014
Sparsity regret bounds for individual sequences in online linear
  regression
Sparsity regret bounds for individual sequences in online linear regression
Sébastien Gerchinovitz
227
108
0
05 Jan 2011
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