The power of localization for efficiently learning linear separators with noise

Author:

Awasthi Pranjal1,Balcan Maria Florina2,Long Philip M.3

Affiliation:

1. Princeton University

2. Georgia Institute of Technology

3. Microsoft

Funder

Air Force Office of Scientific Research

Division of Computing and Communication Foundations

Microsoft Research

Publisher

ACM

Reference44 articles.

1. The hardness of approximate optima in lattices, codes, and systems of linear equations

2. P. Awasthi M.-F. Balcan and P. M. Long. The power of localization for efficiently learning linear separators with noise 2014. Arxiv 1307.8371v7. P. Awasthi M.-F. Balcan and P. M. Long. The power of localization for efficiently learning linear separators with noise 2014. Arxiv 1307.8371v7.

3. Agnostic active learning

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