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A Generalized Online Mirror Descent with Applications to Classification
  and Regression

A Generalized Online Mirror Descent with Applications to Classification and Regression

10 April 2013
Francesco Orabona
K. Crammer
Nicolò Cesa-Bianchi
ArXivPDFHTML

Papers citing "A Generalized Online Mirror Descent with Applications to Classification and Regression"

8 / 8 papers shown
Title
Normalized Online Learning
Normalized Online Learning
Stéphane Ross
Paul Mineiro
John Langford
93
69
0
09 Aug 2014
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax
  Algorithms and Normal Approximations
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations
H. B. McMahan
Francesco Orabona
115
77
0
03 Mar 2014
Relative Loss Bounds for On-line Density Estimation with the Exponential
  Family of Distributions
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions
Katy S. Azoury
Manfred K. Warmuth
87
323
0
23 Jan 2013
No-Regret Algorithms for Unconstrained Online Convex Optimization
No-Regret Algorithms for Unconstrained Online Convex Optimization
Matthew J. Streeter
H. B. McMahan
ODL
65
89
0
09 Nov 2012
Trace Lasso: a trace norm regularization for correlated designs
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave
G. Obozinski
Francis R. Bach
83
196
0
09 Sep 2011
On the Universality of Online Mirror Descent
On the Universality of Online Mirror Descent
Nathan Srebro
Karthik Sridharan
Ambuj Tewari
112
144
0
20 Jul 2011
Adaptive Bound Optimization for Online Convex Optimization
Adaptive Bound Optimization for Online Convex Optimization
H. B. McMahan
Matthew J. Streeter
ODL
77
386
0
26 Feb 2010
Regularization Techniques for Learning with Matrices
Regularization Techniques for Learning with Matrices
Sham Kakade
Shai Shalev-Shwartz
Ambuj Tewari
95
210
0
04 Oct 2009
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