Work

Information-theoretic analysis of stability and bias of learning algorithms

Year: 2016

Type: conference-paper

Source: IEEE Information Theory Workshop (ITW)

DOI: 10.1109/itw.2016.7606789

Authors: Maxim Raginsky, Alexander Rakhlin, Matthew Tsao, Yihong Wu, Aolin Xu

Institutions: University of Illinois Urbana-Champaign, University of Pennsylvania, Yale University

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2541283300

FWCI: 2.649

Cites: 24

Cited by: 69

Related to: 10