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Yi Zhang
Ph.D
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My research concentrates in Theoretical Machine Learning. I am broadly interested in theory and empirics for machine learning, with a focus on understanding the empirical success of deep learning from a theoretical perspective.
Papers22 papers
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ICML, pp.1089-1099, (2020)
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international conference on learning representations, (2020)
Cited by2Bibtex
ICML, pp.8512-8521, (2020)
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COLT, pp.1714-1757, (2020)
EIBibtex
ICLR, (2020)
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international conference on machine learning, (2019)
Cited by4EIBibtex
ICML 2020, (2019)
Cited by3EIBibtex
arXiv: Learning, (2019)
Cited by2EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14574-14583
Cited by26EIBibtex
international conference on learning representations, (2018)
Cited by84EIBibtex
arXiv: Learning, (2018)
Cited by4EIBibtex
ICML, (2018): 254-263
Cited by306EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 4634-4643
Cited by39EIBibtex
international conference on learning representations, (2018)
Cited by13EIBibtex
arXiv: Learning, (2017)
Cited by14EIBibtex
arXiv: Learning, (2017)
Cited by131EIBibtex
IJCAI, (2017): 1703-1710
ICML, (2017)
Cited by433EIBibtex
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