Sham M Kakade
Title
Cited by
Cited by
Year
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
10932009
Tensor decompositions for learning latent variable models
A Anandkumar, R Ge, D Hsu, SM Kakade, M Telgarsky
Journal of Machine Learning Research 15, 2773-2832, 2014
8522014
Cover trees for nearest neighbor
A Beygelzimer, S Kakade, J Langford
Proceedings of the 23rd international conference on Machine learning, 97-104, 2006
8272006
Opponent interactions between serotonin and dopamine
ND Daw, S Kakade, P Dayan
Neural networks 15 (4-6), 603-616, 2002
7882002
A natural policy gradient
S Kakade
Advances in neural information processing systems 14, 1531-1538, 2001
7242001
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
6232009
Stochastic linear optimization under bandit feedback
V Dani, TP Hayes, SM Kakade
4782008
A spectral algorithm for learning hidden markov models
D Hsu, SM Kakade, T Zhang
Journal of Computer and System Sciences, 2012
4662012
Learning and selective attention
P Dayan, S Kakade, PR Montague
Nature neuroscience 3 (11), 1218-1223, 2000
4522000
On the sample complexity of reinforcement learning
SM Kakade
University of London, 2003
4482003
Multi-label prediction via compressed sensing
DJ Hsu, SM Kakade, J Langford, T Zhang
Advances in neural information processing systems, 772-780, 2009
4272009
Approximately optimal approximate reinforcement learning
S Kakade, J Langford
MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 267-274, 2002
4232002
Dopamine: generalization and bonuses
S Kakade, P Dayan
Neural Networks 15 (4-6), 549-559, 2002
4092002
How to escape saddle points efficiently
C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan
arXiv preprint arXiv:1703.00887, 2017
3882017
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
3742012
Information-Theoretic Regret Boundsfor Gaussian Process Optimization in the Bandit Setting
N Srinivas, A Krause, S Kakade, M Seeger
Information Theory, IEEE Transactions on, 1-1, 2011
3742011
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
2842012
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
2822013
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
2682012
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
2682012
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Articles 1–20