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Song Zhao
Ph.D
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Zhao Song’s research interests are broadly in machine learning, theoretical computer science, and mathematics such as deep learning theory, adversarial examples, reinforcement learning, linear regression, matrix/tensor factorization, linear programs, Fourier transform, longest common subsequence, edit distance, compressed sensing, matrix concentration, and discrepancy.
Papers101 papers
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Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li,Tri Dao,Zhao Song,Anshumali Shrivastava,Christopher Re
ICLR 2021, (2021)
ITCS, (2021)
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., pp.944-953, (2020)
international conference on machine learning, (2020)
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., pp.775-788, (2020)
EMNLP, pp.1368-1382, (2020)
NIPS 2020, (2020)
Jan van den Brand,Yin-Tat Lee,Danupon Nanongkai,Richard Peng,Thatchaphol Saranurak,Aaron Sidford,Zhao Song, Di Wang
FOCS, pp.919-930, (2020)
Advances in Mathematics, (2020): 107366
ICML, pp.5394-5404, (2020)
AISTATS, pp.467-481, (2020)
37th International Conference on Machine Learning (ICML), (2020)
international conference on learning representations, (2020)
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