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Chi Jin(金驰)
Assistant Professor
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Bio
My research interests lie in machine learning, statistics and optimization. The primary goal of my Ph.D. research is to design better learning algorithms that are theoretically sound, and efficient in sample complexity, runtime and space. To achieve this goal, my research has focused on providing a deeper understanding of fundamental questions in nonconvex optimization and recently in reinforcement learning.
Papers46 papers
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international conference on learning representations, (2021)
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ICML, pp.551-560, (2020)
Cited by3EIBibtex
ICML, pp.6083-6093, (2020)
Cited by97EIBibtex
COLT, pp.2738-2779, (2020)
Cited by49EIBibtex
ICML, pp.4880-4889, (2020)
Cited by52EIBibtex
ICML, pp.4860-4869, (2020)
EIBibtex
arXiv preprint arXiv:1912.01192, (2020)
Cited by8Bibtex
NIPS 2020, (2020)
EIBibtex
ICML, pp.4870-4879, (2020)
Cited by3EIBibtex
Proceedings of the National Academy of Sciences of the United States of America, (2019): 201820003
ICML, pp.1283-1294, (2019)
Cited by13EIBibtex
COLT, pp.2137-2143, (2019)
Cited by109EIBibtex
arXiv: Probability, (2019)
Cited by27EIBibtex
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