Professor

Education & Employment


Columbia University

Visiting Student

New York, NY, 2012 - 2013

Publications

  1. Rishabh Dudeja, and Daniel Hsu. "Statistical Query Lower Bounds for Tensor PCA". arXiv . p. 2008.04101 Aug 2020 download doi
  2. Christopher Tosh, Akshay Krishnamurthy, and Daniel Hsu. "Contrastive learning, multi-view redundancy, and linear models". arXiv . p. 2008.1015 Aug 2020 download doi
  3. Liu, Chia-Hao, Tao, Yunzhe, Hsu, Daniel J., Du, Qiang, and Billinge, Simon J. L.. "Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function". Acta Crystallogr. A . 75 p. 633-643 June 2019 download doi
  4. Belkin, Mikhail, Hsu, Daniel, and Mitra, Partha. "Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate". Advances in Neural Information Processing Systems. 31 p. 2300-2311 (2018) download doi
  5. Xu, Ji, Hsu, Daniel J., and Maleki, Arian. "Benefits of over-parameterization with EM". Advances in Neural Information Processing Systems 31. p. 10685--10695 (2018) download
  6. Dicker, Lee H., Foster, Dean P., and Hsu, Daniel. "Kernel ridge vs. principal component regression: minimax bounds and the qualification of regularization operators". Electron. J. Stat. . 11 p. 1022--1047 (2017) download doi
  7. Hsu, Daniel, Shi, Kevin, and Sun, Xiaorui. "Linear regression without correspondence". Advances in Neural Information Processing Systems 30. (2017)
  8. Andoni, Alexandr, Hsu, Daniel, Shi, Kevin, and Sun, Xiaorui. "Correspondence retrieval". Proceedings of the 2017 Conference on Learning Theory. 65 p. 105--126 Amsterdam, Netherlands Jul 2017 download doi