Learning new physics efficiently with nonparametric methods

Learning new physics efficiently with nonparametric methods

5 April 2022

Gianvito Losapio

Lorenzo Rosasco

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Papers citing "Learning new physics efficiently with nonparametric methods"

19 / 19 papers shown

Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches Ivan Oleksiyuk Svyatoslav Voloshynovskiy Tobias Golling DiffM 94 0 0 06 Mar 2025
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider T. Aarrestad M. Beekveld M. Bona A. Boveia S. Caron ... M. White E. Wulff E. Wallin K. Wozniak Z. Zhang 86 83 0 28 May 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 72 84 0 19 Apr 2021
Bump Hunting in Latent Space Blaž Bortolato B. Dillon J. Kamenik Aleks Smolkovič DRL 84 44 0 11 Mar 2021
Anomaly Awareness Charanjit K. Khosa V. Sanz 45 24 0 20 Jul 2020
Variational Autoencoders for Anomalous Jet Tagging Taoli Cheng J. Arguin Julien Leissner-Martin Jacinthe Pilette T. Golling CML BDL DRL 67 78 0 03 Jul 2020
Kernel methods through the roof: handling billions of points efficiently Giacomo Meanti Luigi Carratino Lorenzo Rosasco Alessandro Rudi 90 116 0 18 Jun 2020
Simulation Assisted Likelihood-free Anomaly Detection Anders Andreassen Benjamin Nachman David Shih 72 112 0 14 Jan 2020
Anomaly Detection with Density Estimation Benjamin Nachman David Shih 74 219 0 14 Jan 2020
Statistical and Computational Trade-Offs in Kernel K-Means Daniele Calandriello Lorenzo Rosasco 51 32 0 27 Aug 2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses Ulysse Marteau-Ferey Francis R. Bach Alessandro Rudi 56 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 177 52 0 08 Feb 2019
Variational Autoencoders for New Physics Mining at the Large Hadron Collider O. Cerri Thong Q. Nguyen M. Pierini M. Spiropulu J. Vlimant DRL 93 144 0 26 Nov 2018
But How Does It Work in Theory? Linear SVM with Random Features Yitong Sun A. Gilbert Ambuj Tewari VLM 68 64 0 12 Sep 2018
Novelty Detection Meets Collider Physics Jan Hajer Ying-Ying Li Tao Liu He Wang 119 103 0 26 Jul 2018
FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi Luigi Carratino Lorenzo Rosasco 83 196 0 31 May 2017
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 92 331 0 14 Feb 2016
Less is More: Nyström Computational Regularization Alessandro Rudi Raffaello Camoriano Lorenzo Rosasco 66 277 0 16 Jul 2015
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 179 282 0 09 Aug 2012