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Daniel Hsu
Daniel Hsu
Columbia University
Verified email at cs.columbia.edu - Homepage
Title
Cited by
Cited by
Year
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
3432004
A concentration theorem for projections
S Dasgupta, D Hsu, N Verma
arXiv preprint arXiv:1206.6813, 2012
542012
A cryptographic approach to black box adversarial machine learning
K Shi, D Hsu, A Bishop
arXiv preprint arXiv:1906.03231, 2019
22019
A different approach to sensor networking for SHM: Remote powering and interrogation with unmanned aerial vehicles
M Todd, DDL Mascarenas, EB Flynn, T Rosing, B Lee, D Musiani, ...
6th International Workshop on Structural Health Monitoring: Quantification …, 2007
712007
A general agnostic active learning algorithm
S Dasgupta, D Hsu, C Monteleoni
Advances in neural information processing systems 20, 353-360, 2007
3802007
A gradual, semi-discrete approach to generative network training via explicit wasserstein minimization
Y Chen, M Telgarsky, C Zhang, B Bailey, D Hsu, J Peng
International Conference on Machine Learning, 1071-1080, 2019
172019
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
3862012
A new hedging algorithm and its application to inferring latent random variables
Y Freund, D Hsu
arXiv preprint arXiv:0806.4802, 2008
102008
A note on the label complexity of the Cohn-Atlas-Ladner selective sampling method
D Hsu
2007
A parameter-free hedging algorithm
K Chaudhuri, Y Freund, D Hsu
Arxiv preprint arXiv:0903.2851, 2009
1632009
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
4012012
A Spectral Algorithm for Latent Dirichlet Allocation
AADP Foster, D Hsu, SMKYK Liu, LDA Simplified
A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language.
K Stratos, D Kim, M Collins, DJ Hsu
UAI, 762-771, 2014
382014
A spectral algorithm for learning hidden markov models
D Hsu, SM Kakade, T Zhang
Arxiv preprint arXiv:0811.4413, 2008
612*2008
A tail inequality for quadratic forms of subgaussian random vectors
D Hsu, SM Kakade, T Zhang
Arxiv preprint arXiv:1110.2842, 2011
4712011
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
1762014
A tensor spectral approach to learning mixed membership community models
A Anandkumar, R Ge, D Hsu, S Kakade
Conference on Learning Theory, 867-881, 2013
1412013
Active Learning via Reduction To Supervised Classification
A Beygelzimer, S Dasgupta, D Hsu, N Karampatziakis, T Zhang
Active Learning with an ERM Oracle
A Beygelzimer, D Hsu, J Langford, T Zhang
Agnostic active learning without constraints
A Beygelzimer, D Hsu, J Langford, T Zhang
Arxiv preprint arXiv:1006.2588, 2010
2092010
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