How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage

Russo, Daniel; Zou, James

doi:10.1109/TIT.2019.2945779

Record: found
Abstract: not found
Article: not found

How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage

Author(s): Daniel Russo , James Zou

Publication date (Print): January 2020

Journal: IEEE Transactions on Information Theory

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Contributors

Daniel Russo: (View ORCID Profile)

James Zou: (View ORCID Profile)

Journal

Title: IEEE Transactions on Information Theory

Abbreviated Title: IEEE Trans. Inform. Theory

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 0018-9448

ISSN (Electronic): 1557-9654

Publication date Created: January 2020

Publication date (Print): January 2020

Volume: 66

Issue: 1

Pages: 302-323

Article

DOI: 10.1109/TIT.2019.2945779

SO-VID: 91934b54-97bc-4180-9256-939a2c51d4a0

License:

History

Data availability:

How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage

Read this article at

Related collections

Developing Data Infrastructures

Author and article information

Contributors

Journal

Article

History

Comments

Comment on this article

Similar content 1,498

Cited by 2