Daniel J. Hsu

Computer Science

Algorithmic Statistics, Machine Learning, Privacy

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Belkin M, Hsu D, Ma S, et al. (2019) 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
Liu CH, Tao Y, Hsu D, et al. (2019) 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
May A, Garakani AB, Lu Z, et al. (2019) Kernel Approximation Methods for Speech Recognition Journal of Machine Learning Research. 20: 1-36
Mu C, Hsu DJ, Goldfarb D. (2017) Greedy Approaches to Symmetric Orthogonal Tensor Decomposition Siam Journal On Matrix Analysis and Applications. 38: 1210-1226
Stratos K, Collins M, Hsu DJ. (2016) Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models Transactions of the Association For Computational Linguistics. 4: 245-257
Mu C, Hsu D, Goldfarb D. (2015) Successive rank-one approximations for nearly orthogonally decomposable symmetric tensors Siam Journal On Matrix Analysis and Applications. 36: 1638-1659
Hsu D, Kakade SM, Zhang T. (2012) A spectral algorithm for learning Hidden Markov Models Journal of Computer and System Sciences. 78: 1460-1480