Daniel Hsu
E-mail: <my username>@cs.<university domain>
Office: 4146 EBU3B
I work on machine learning.
Sanjoy Dasgupta is the master.
Research papers
Daniel Hsu, Sham M. Kakade, John Langford, and Tong Zhang. Multi-label prediction via compressed sensing. Twenty-Third Annual Conference on Neural Information Processing Systems, 2009.
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Kamalika Chaudhuri, Yoav Freund, and Daniel Hsu. A parameter-free hedging algorithm. Twenty-Third Annual Conference on Neural Information Processing Systems, 2009.
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Daniel Hsu, Sham M. Kakade, and Tong Zhang. A spectral algorithm for learning hidden Markov models. Twenty-Second Annual Conference on Learning Theory, 2009. Previously arXiv:0811.4413, 2008.
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Sanjoy Dasgupta and Daniel Hsu. Hierarchical sampling for active learning. Twenty-Fifth International Conference on Machine Learning, 2008.
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Sanjoy Dasgupta, Daniel Hsu, and Claire Monteleoni. A general agnostic active learning algorithm. Twenty-First Annual Conference on Neural Information Processing Systems, 2007.
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Sanjoy Dasgupta and Daniel Hsu. On-line estimation with the multivariate Gaussian distribution. Twentieth Annual Conference on Learning Theory, 2007.
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Home games
Away games
- Yahoo! Research, New York (Summer 2009)
- Toyota Technological Institute at Chicago (Fall 2008)
- Yahoo! Labs, Santa Clara (Summer 2008)