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Ohad Shamir
post-doctoral researcher
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My research interests focus on theoretical machine learning, with emphasis on algorithms which combine practical efficiency and theoretical insight. I'm also interested in the many intersections of machine learning with related fields, such as optimization, statistics, theoretical computer science and AI.
Papers146 papers
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ICML, pp.6682-6691, (2020)
Cited by16EIBibtex
ANNALS OF STATISTICS, no. 4 (2020): 1911-1915
conference on learning theory, (2020): 297-299
Cited by154EIBibtex
international conference on machine learning, (2020)
Bibtex
ALT, pp.111-132, (2020)
Cited by3EIBibtex
Cited by2Bibtex
NIPS 2020, (2020)
Cited by1EIBibtex
ICML, pp.10334-10343, (2020)
Cited by38EIBibtex
arXiv: Learning, (2019)
Cited by2EIBibtex
conference on learning theory, (2019)
Cited by21EIBibtex
COLT, pp.929-954, (2019)
Cited by4EIBibtex
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