Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test

9 March 2023

Papers citing "Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test"

9 / 9 papers shown

Title
Goodness of fit by Neyman-Pearson testing Gaia Grosso Marco Letizia M. Pierini A. Wulzer 51 6 0 23 May 2023
Learning new physics efficiently with nonparametric methods Marco Letizia Gianvito Losapio Marco Rando Gaia Grosso A. Wulzer M. Pierini M. Zanetti Lorenzo Rosasco OOD 65 32 0 05 Apr 2022
Kernel methods through the roof: handling billions of points efficiently Giacomo Meanti Luigi Carratino Lorenzo Rosasco Alessandro Rudi 75 116 0 18 Jun 2020
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses Ulysse Marteau-Ferey Francis R. Bach Alessandro Rudi 50 36 0 03 Jul 2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance Ulysse Marteau-Ferey Dmitrii Ostrovskii Francis R. Bach Alessandro Rudi 153 52 0 08 Feb 2019
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider Adrian Alan Pol G. Cerminara Cécile Germain M. Pierini Agrima Seth 25 21 0 27 Jul 2018
FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi Luigi Carratino Lorenzo Rosasco 78 196 0 31 May 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 158 405 0 20 Oct 2016
Less is More: Nyström Computational Regularization Alessandro Rudi Raffaello Camoriano Lorenzo Rosasco 43 277 0 16 Jul 2015