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Vitaly Feldman
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I work on theoretical aspects of machine learning. Recent topics include adaptive data analysis, complexity of learning with constrained access to data, and privacy-preserving learning. I also worked on understanding of natural learning systems: learning by the brain and evolution as learning.
Papers111 papers
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Erlingsson Úlfar,Feldman Vitaly,Mironov Ilya,Raghunathan Ananth, Song Shuang,Talwar Kunal, Thakurta Abhradeep
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., pp.439-449, (2020)
Dagan Yuval,Feldman Vitaly
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., pp.450-462, (2019)
COLT, (2019): 1270-1279
symposium on discrete algorithms, (2019)
Bibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 11279-11288
Cited by17EIBibtex
SODA '19: Symposium on Discrete Algorithms
San Diego
California
January, 2019, (2019): 2468-2479
COLT, pp.3185-3189, (2019)
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., (2019): 954-959
international conference on machine learning, (2019)
COLT, pp.3180-3184, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14975-14986
Cited by12EIBibtex
ALT, (2019): 86-98
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