Sham M Kakade
TitleCited byYear
Cover trees for nearest neighbor
A Beygelzimer, S Kakade, J Langford
Proceedings of the 23rd international conference on Machine learning, 97-104, 2006
7022006
Opponent interactions between serotonin and dopamine
ND Daw, S Kakade, P Dayan
Neural Networks 15 (4), 603-616, 2002
6822002
Gaussian process optimization in the bandit setting: No regret and experimental design
N Srinivas, A Krause, SM Kakade, M Seeger
arXiv preprint arXiv:0912.3995, 2009
6122009
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
5862014
A natural policy gradient
S Kakade
Advances in neural information processing systems 14, 1531-1538, 2001
4622001
Multi-view clustering via canonical correlation analysis
K Chaudhuri, SM Kakade, K Livescu, K Sridharan
Proceedings of the 26th annual international conference on machine learning …, 2009
4512009
A spectral algorithm for learning hidden markov models
D Hsu, SM Kakade, T Zhang
Journal of Computer and System Sciences, 2012
3872012
Learning and selective attention
P Dayan, S Kakade, PR Montague
Nature neuroscience 3 (11s), 1218, 2000
3802000
Dopamine: generalization and bonuses
S Kakade, P Dayan
Neural Networks 15 (4-6), 549-559, 2002
3282002
Multi-label prediction via compressed sensing
DJ Hsu, SM Kakade, J Langford, T Zhang
Advances in neural information processing systems, 772-780, 2009
3212009
Stochastic linear optimization under bandit feedback
V Dani, TP Hayes, SM Kakade
3052008
On the sample complexity of reinforcement learning
SM Kakade
University of London, 2003
3052003
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
2352013
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
2302012
A spectral algorithm for latent dirichlet allocation
A Anandkumar, DP Foster, DJ Hsu, SM Kakade, YK Liu
Advances in Neural Information Processing Systems, 917-925, 2012
2142012
Approximately optimal approximate reinforcement learning
S Kakade, J Langford
MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 267-274, 2002
2042002
Information-theoretic regret bounds for gaussian process optimization in the bandit setting
N Srinivas, A Krause, SM Kakade, MW Seeger
IEEE Transactions on Information Theory 58 (5), 3250-3265, 2012
2012012
Robust matrix decomposition with sparse corruptions
D Hsu, S Kakade, T Zhang
Information Theory, IEEE Transactions on, 1-1, 2011
1862011
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization
SM Kakade, K Sridharan, A Tewari
Advances in neural information processing systems, 793-800, 2009
1842009
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
1752014
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Articles 1–20