
Data sparse nonparametric regression with epsilon-insensitive losses
Author(s) -
Maxime Sangnier,
Olivier Fercoq,
Florence d’AlchéBuc
Publication year - 2017
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - Uncategorized
Resource type - Conference proceedings
Subject(s) - quantile regression , regression , nonparametric regression , kernel regression , reproducing kernel hilbert space , computer science , coordinate descent , kernel (algebra) , multivariate statistics , support vector machine , regularization (linguistics) , nonparametric statistics , mathematics , minification , artificial intelligence , algorithm , mathematical optimization , machine learning , statistics , hilbert space , mathematical analysis , combinatorics