Sham M Kakade - Google Scholar Citations

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Citations	13653	9500
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Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Dean FosterAmazon, NYCVerified email at amazon.com
Anima AnandkumarCalifornia Institute of TechnologyVerified email at caltech.edu
Rong GeDuke UniversityVerified email at cs.duke.edu
Praneeth NetrapalliMicrosoft ResearchVerified email at microsoft.com
Tong ZhangHKUSTVerified email at tongzhang-ml.org
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Aaron SidfordStanford UniversityVerified email at stanford.edu
Chi JinPh.D student, UC BerkeleyVerified email at berkeley.edu
Nathaniel D. DawProfessor of Neurocience and Psychology, Princeton UniversityVerified email at princeton.edu
Ambuj TewariAssociate Professor, Department of Statistics and Department of EECS, University of MichiganVerified email at umich.edu
Matthias SeegerPrinciple Applied Scientist, Amazon, BerlinVerified email at amazon.de
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Rahul KidambiUniversity of WashingtonVerified email at uw.edu
Varsha DaniUniversity of New MexicoVerified email at cs.unm.edu
Matus TelgarskyUniversity of Illinois, Urbana-ChampaignVerified email at illinois.edu

Sham M Kakade

University of Washington

Verified email at cs.washington.edu - Homepage

Machine Learning Artificial Intelligence Statistics Optimization


Title	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	758	2009
Cover trees for nearest neighbor A Beygelzimer, S Kakade, J Langford Proceedings of the 23rd international conference on Machine learning, 97-104, 2006	749	2006
Opponent interactions between serotonin and dopamine ND Daw, S Kakade, P Dayan Neural Networks 15 (4-6), 603-616, 2002	705	2002
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	673	2014
A natural policy gradient S Kakade Advances in neural information processing systems 14, 1531-1538, 2001	541	2001
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	520	2009
A spectral algorithm for learning hidden markov models D Hsu, SM Kakade, T Zhang Journal of Computer and System Sciences, 2012	415	2012
Learning and selective attention P Dayan, S Kakade, PR Montague Nature neuroscience 3 (11s), 1218, 2000	405	2000
Dopamine: generalization and bonuses S Kakade, P Dayan Neural Networks 15 (4-6), 549-559, 2002	367	2002
Multi-label prediction via compressed sensing DJ Hsu, SM Kakade, J Langford, T Zhang Advances in neural information processing systems, 772-780, 2009	366	2009
Stochastic linear optimization under bandit feedback V Dani, TP Hayes, SM Kakade	361	2008
On the sample complexity of reinforcement learning SM Kakade University of London, 2003	346	2003
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	256	2012
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	256	2011
Approximately optimal approximate reinforcement learning S Kakade, J Langford MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 267-274, 2002	255	2002
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	246	2013
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	245	2012
How to escape saddle points efficiently C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	233	2017
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	229	2012
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	229	2012

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