"PAC-Bayesian Bounds and Beyond: Self-Bounding Algorithms and New ..."

Paul Viallard (2022)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2024-06-05

- view
  - electronic edition @ archives-ouvertes.fr
- export record
  dblp key:
  - phd/hal/Viallard22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/hal/Viallard22
Paul Viallard:
PAC-Bayesian Bounds and Beyond: Self-Bounding Algorithms and New Perspectives on Generalization in Machine Learning. (Bornes PAC-Bayésiennes et Au-delà: Algorithmes Auto-limitatifs et Nouvelles Perspectives sur la Généralisation en Apprentissage Automatique). Jean Monnet University, Saint-Étienne, France, 2022

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.