Testing Distributional Assumptions of Learning Algorithms

Bibliographic Details
Main Authors: Rubinfeld, Ronitt, Vasilyan, Arsen
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|Proceedings of the 55th Annual ACM Symposium on Theory of Computing 2023
Online Access:https://hdl.handle.net/1721.1/150987
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author Rubinfeld, Ronitt
Vasilyan, Arsen
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Rubinfeld, Ronitt
Vasilyan, Arsen
author_sort Rubinfeld, Ronitt
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spelling mit-1721.1/1509872024-01-19T19:40:19Z Testing Distributional Assumptions of Learning Algorithms Rubinfeld, Ronitt Vasilyan, Arsen Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2023-07-05T18:58:24Z 2023-07-05T18:58:24Z 2023-06-02 2023-07-01T07:47:55Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-9913-5 https://hdl.handle.net/1721.1/150987 Rubinfeld, Ronitt and Vasilyan, Arsen. 2023. "Testing Distributional Assumptions of Learning Algorithms." PUBLISHER_CC en https://doi.org/10.1145/3564246.3585117 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|Proceedings of the 55th Annual ACM Symposium on Theory of Computing Association for Computing Machinery
spellingShingle Rubinfeld, Ronitt
Vasilyan, Arsen
Testing Distributional Assumptions of Learning Algorithms
title Testing Distributional Assumptions of Learning Algorithms
title_full Testing Distributional Assumptions of Learning Algorithms
title_fullStr Testing Distributional Assumptions of Learning Algorithms
title_full_unstemmed Testing Distributional Assumptions of Learning Algorithms
title_short Testing Distributional Assumptions of Learning Algorithms
title_sort testing distributional assumptions of learning algorithms
url https://hdl.handle.net/1721.1/150987
work_keys_str_mv AT rubinfeldronitt testingdistributionalassumptionsoflearningalgorithms
AT vasilyanarsen testingdistributionalassumptionsoflearningalgorithms