Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.

Guillaume Ausset; Stéphan Clémençon; François Portier

Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.

Guillaume Ausset ¹ Stéphan Clémençon ^{2, 3} François Portier ^{2, 3}

1 LTCI - Laboratoire Traitement et Communication de l'Information

2 S2A - Signal, Statistique et Apprentissage

LTCI - Laboratoire Traitement et Communication de l'Information

3 IDS - Département Images, Données, Signal

Document type :

Conference papers

Domain :

Statistics [stat] / Machine Learning [stat.ML]

Complete list of metadatas

https://hal.telecom-paristech.fr/hal-02287991
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 5:34:13 PM
Last modification on : Thursday, October 17, 2019 - 12:37:03 PM

Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.

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Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.

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