Daniel J. Hsu - Publications

Affiliations: 
Computer Science Columbia University, New York, NY 
Area:
Algorithmic Statistics, Machine Learning, Privacy

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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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