Daniel J. Hsu - Publications
Affiliations: | Computer Science | Columbia University, New York, NY |
Area:
Algorithmic Statistics, Machine Learning, PrivacyYear | Citation | Score | |||
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2019 | Belkin M, Hsu D, Ma S, Mandal S. Reconciling modern machine-learning practice and the classical bias-variance trade-off. Proceedings of the National Academy of Sciences of the United States of America. PMID 31341078 DOI: 10.1073/Pnas.1903070116 | 0.33 | |||
2019 | Liu CH, Tao Y, Hsu D, Du Q, Billinge SJL. Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function. Acta Crystallographica. Section a, Foundations and Advances. 75: 633-643. PMID 31264647 DOI: 10.1107/S2053273319005606 | 0.334 | |||
2019 | May A, Garakani AB, Lu Z, Guo D, Liu K, Bellet A, Fan L, Collins M, Hsu DJ, Kingsbury B, Picheny M, Sha F. Kernel Approximation Methods for Speech Recognition Journal of Machine Learning Research. 20: 1-36. DOI: 10.7916/D8D80P9T | 0.31 | |||
2017 | Mu C, Hsu DJ, Goldfarb D. Greedy Approaches to Symmetric Orthogonal Tensor Decomposition Siam Journal On Matrix Analysis and Applications. 38: 1210-1226. DOI: 10.1137/16M1087734 | 0.314 | |||
2016 | Stratos K, Collins M, Hsu DJ. Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models Transactions of the Association For Computational Linguistics. 4: 245-257. DOI: 10.1162/Tacl_A_00096 | 0.302 | |||
2015 | Mu C, Hsu D, Goldfarb D. Successive rank-one approximations for nearly orthogonally decomposable symmetric tensors Siam Journal On Matrix Analysis and Applications. 36: 1638-1659. DOI: 10.1137/15M1010890 | 0.334 | |||
2012 | Hsu D, Kakade SM, Zhang T. A spectral algorithm for learning Hidden Markov Models Journal of Computer and System Sciences. 78: 1460-1480. DOI: 10.1016/J.Jcss.2011.12.025 | 0.343 | |||
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