Work

Online Learning of Noisy Data

Year: 2011

Type: article

Source: IEEE Transactions on Information Theory

DOI: 10.1109/tit.2011.2164053

Authors: Nicoló Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir

Institutions: University of Milan, Hebrew University of Jerusalem, Microsoft Research New England (United States)

Language: English

Topic: Advanced Bandit Algorithms Research

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W1989888201

FWCI: 3.89

Cites: 21

Cited by: 44

Related to: 10