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Empirical Risk Minimization under Random Censorship: Theory and Practice

Empirical Risk Minimization under Random Censorship: Theory and Practice

Guillaume Ausset
Stephan Clémençon
François Portier
ArXiv (abs)PDFHTML

Papers citing "Empirical Risk Minimization under Random Censorship: Theory and Practice"

6 / 6 papers shown
Title
An Efficient Training Algorithm for Kernel Survival Support Vector Machines
An Efficient Training Algorithm for Kernel Survival Support Vector Machines
Sebastian Polsterl
Nassir Navab
A. Katouzian
32
40
0
21 Nov 2016
Risk minimization by median-of-means tournaments
Risk minimization by median-of-means tournaments
Gabor Lugosi
S. Mendelson
115
132
0
02 Aug 2016
On the weak convergence of the empirical conditional copula under a simplifying assumption
On the weak convergence of the empirical conditional copula under a simplifying assumption
François Portier
Johan Segers
25
33
0
20 Nov 2015
Learning subgaussian classes : Upper and minimax bounds
Learning subgaussian classes : Upper and minimax bounds
Guillaume Lecué
S. Mendelson
138
86
0
21 May 2013
Single index regression models in the presence of censoring depending on the covariates
Single index regression models in the presence of censoring depending on the covariates
O. Lopez
V. Patilea
Ingrid Van Keilegom
84
25
0
27 Nov 2011
Uniform asymptotics for kernel density estimators with variable bandwidths
Uniform asymptotics for kernel density estimators with variable bandwidths
Evarist Giné
Hailin Sang
126
17
0
25 Jul 2010

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