Daniel Hsu
Daniel Hsu
Columbia University
Verified email at cs.columbia.edu - Homepage
TitleCited byYear
Tensor decompositions for learning latent variable models
A Anandkumar, R Ge, D Hsu, SM Kakade, M Telgarsky
The Journal of Machine Learning Research 15 (1), 2773-2832, 2014
6962014
A spectral algorithm for learning hidden markov models
D Hsu, SM Kakade, T Zhang
Arxiv preprint arXiv:0811.4413, 2008
416*2008
Multi-label prediction via compressed sensing
DJ Hsu, SM Kakade, J Langford, T Zhang
Advances in neural information processing systems, 772-780, 2009
3722009
Hierarchical sampling for active learning
S Dasgupta, D Hsu
Proceedings of the 25th international conference on Machine learning, 208-215, 2008
3602008
a CAPpella: programming by demonstration of context-aware applications
AK Dey, R Hamid, C Beckmann, I Li, D Hsu
Proceedings of the SIGCHI conference on Human factors in computing systems …, 2004
2852004
A general agnostic active learning algorithm
S Dasgupta, D Hsu, C Monteleoni
Advances in neural information processing systems 20, 353-360, 2007
2512007
Learning mixtures of spherical gaussians: moment methods and spectral decompositions
D Hsu, SM Kakade
Proceedings of the 4th conference on Innovations in Theoretical Computer …, 2013
2482013
A method of moments for mixture models and hidden Markov models
A Anandkumar, D Hsu, SM Kakade
Conference on Learning Theory, 33.1-33.34, 2012
2462012
A spectral algorithm for latent dirichlet allocation
A Anandkumar, Y Liu, D Hsu, DP Foster, SM Kakade
Advances in Neural Information Processing Systems, 917-925, 2012
2332012
Taming the monster: A fast and simple algorithm for contextual bandits
A Agarwal, D Hsu, S Kale, J Langford, L Li, RE Schapire
Thirty-First International Conference on Machine Learning, 2014
2092014
A tensor approach to learning mixed membership community models
A Anandkumar, R Ge, D Hsu, SM Kakade
The Journal of Machine Learning Research 15 (1), 2239-2312, 2014
2002014
Robust Matrix Decomposition with Sparse Corruptions
D Hsu, SM Kakade, T Zhang
Information Theory, IEEE Transactions on, 1-1, 2011
1972011
A tail inequality for quadratic forms of subgaussian random vectors
D Hsu, SM Kakade, T Zhang
Arxiv preprint arXiv:1110.2842, 2011
1882011
Efficient optimal learning for contextual bandits
M Dudik, D Hsu, S Kale, N Karampatziakis, J Langford, L Reyzin, T Zhang
arXiv preprint arXiv:1106.2369, 2011
1652011
Agnostic active learning without constraints
A Beygelzimer, D Hsu, J Langford, T Zhang
Arxiv preprint arXiv:1006.2588, 2010
1412010
Random design analysis of ridge regression
D Hsu, SM Kakade, T Zhang
Conference on learning theory, 9.1-9.24, 2012
1082012
A parameter-free hedging algorithm
K Chaudhuri, Y Freund, D Hsu
Arxiv preprint arXiv:0903.2851, 2009
982009
Stochastic convex optimization with bandit feedback
A Agarwal, DP Foster, D Hsu, SM Kakade, A Rakhlin
Advances in Neural Information Processing Systems, 1035-1043, 2011
832011
Two svds suffice: Spectral decompositions for probabilistic topic modeling and latent dirichlet allocation
A Anandkumar, SM Kakade, DP Foster, YK Liu, D Hsu
772012
Sample complexity bounds for differentially private learning
K Chaudhuri, D Hsu
COLT, LNCS, page To appear. Springer, 2011
692011
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Articles 1–20