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
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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

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  • HAL Id : hal-02287991, version 1

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LTCI | PARISTECH | INSTITUT-TELECOM | IDS | S2A | UNIV-PARIS-SACLAY

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Guillaume Ausset, Stéphan Clémençon, François Portier. Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.. NIPS, Workshop ML4H, Dec 2018, Montréal, Canada. ⟨hal-02287991⟩

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