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Relative Deviation Learning Bounds and Generalization with Unbounded
  Loss Functions

Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions

22 October 2013
Corinna Cortes
Spencer Greenberg
M. Mohri
ArXivPDFHTML

Papers citing "Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions"

8 / 8 papers shown
Title
Learning without Concentration
Learning without Concentration
S. Mendelson
221
334
0
01 Jan 2014
Tight Lower Bound on the Probability of a Binomial Exceeding its
  Expectation
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation
Spencer Greenberg
M. Mohri
59
67
0
06 Jun 2013
Almost-everywhere algorithmic stability and generalization error
Almost-everywhere algorithmic stability and generalization error
S. Kutin
P. Niyogi
94
173
0
12 Dec 2012
Domain Adaptation for Statistical Classifiers
Domain Adaptation for Statistical Classifiers
Hal Daumé
D. Marcu
OOD
94
911
0
28 Sep 2011
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
295
799
0
19 Feb 2009
Sample Selection Bias Correction Theory
Sample Selection Bias Correction Theory
Corinna Cortes
M. Mohri
Michael Riley
Afshin Rostamizadeh
101
350
0
19 May 2008
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
286
284
0
14 Aug 2007
Rejoinder: 2004 IMS Medallion Lecture: Local Rademacher complexities and
  oracle inequalities in risk minimization
Rejoinder: 2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization
V. Koltchinskii
571
196
0
01 Aug 2007
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