Skip to Main content Skip to Navigation
Conference papers

A Kernel Perspective for Regularizing Deep Neural Networks

Alberto Bietti 1 Grégoire Mialon 1, 2 Dexiong Chen 1 Julien Mairal 1
1 Thoth - Apprentissage de modèles à partir de données massives
LJK - Laboratoire Jean Kuntzmann , Inria Grenoble - Rhône-Alpes
2 SIERRA - Statistical Machine Learning and Parsimony
DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique, Inria de Paris
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

https://hal.inria.fr/hal-01884632
Contributor : Alberto Bietti <>
Submitted on : Tuesday, May 14, 2019 - 2:20:36 PM
Last modification on : Thursday, November 19, 2020 - 1:01:30 PM
Long-term archiving on: : Thursday, October 10, 2019 - 7:11:56 AM

File

main.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01884632, version 4
  • ARXIV : 1810.00363

Collections

Citation

Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal. A Kernel Perspective for Regularizing Deep Neural Networks. ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.664-674. ⟨hal-01884632v4⟩

Share

Metrics

Record views

363

Files downloads

608