Sham M Kakade - Google Scholar

Citée par

	Toutes	Depuis 2015
Citations	17897	12408
indice h	67	55
indice i10	135	121

2900

1450

725

2175

20032004200520062007200820092010201120122013201420152016201720182019202070 70 144 201 208 281 400 426 558 756 943 1219 1335 1643 1777 2229 2801 2604

Coauteurs

Daniel HsuColumbia UniversityAdresse e-mail validée de cs.columbia.edu
Rong GeDuke UniversityAdresse e-mail validée de cs.duke.edu
Dean FosterAmazon, NYCAdresse e-mail validée de amazon.com
Praneeth NetrapalliMicrosoft ResearchAdresse e-mail validée de microsoft.com
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresse e-mail validée de caltech.edu
Tong ZhangHKUSTAdresse e-mail validée de tongzhang-ml.org
John LangfordMicrosoft Research New YorkAdresse e-mail validée de hunch.net
Chi JinAssistant Professor, Princeton UniversityAdresse e-mail validée de princeton.edu
Aaron SidfordStanford UniversityAdresse e-mail validée de stanford.edu
Matthias SeegerPrincipal Applied Scientist, Amazon, BerlinAdresse e-mail validée de amazon.de
Nathaniel D. DawProfessor of Neurocience and Psychology, Princeton UniversityAdresse e-mail validée de princeton.edu
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganAdresse e-mail validée de umich.edu
Prateek JainMicrosoft Research IndiaAdresse e-mail validée de microsoft.com
Rahul KidambiCornell UniversityAdresse e-mail validée de cornell.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichAdresse e-mail validée de inf.ethz.ch
Alekh AgarwalMicrosoft ResearchAdresse e-mail validée de microsoft.com
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteAdresse e-mail validée de ttic.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Niranjan Srinivas10X GenomicsAdresse e-mail validée de 10xgenomics.com
Shai Shalev-ShwartzThe Hebrew UniversityAdresse e-mail validée de cs.huji.ac.il

Sham M Kakade

University of Washington

Adresse e-mail validée de cs.washington.edu - Page d'accueil

Machine Learning Artificial Intelligence Statistics Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1133	2009
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	863	2014
Cover trees for nearest neighbor A Beygelzimer, S Kakade, J Langford Proceedings of the 23rd international conference on Machine learning, 97-104, 2006	844	2006
Opponent interactions between serotonin and dopamine ND Daw, S Kakade, P Dayan Neural networks 15 (4-6), 603-616, 2002	793	2002
A natural policy gradient S Kakade Advances in neural information processing systems 14, 1531-1538, 2001	743	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	637	2009
Stochastic linear optimization under bandit feedback V Dani, TP Hayes, SM Kakade	488	2008
A spectral algorithm for learning hidden markov models D Hsu, SM Kakade, T Zhang Journal of Computer and System Sciences, 2012	474	2012
On the sample complexity of reinforcement learning SM Kakade University of London, 2003	460	2003
Learning and selective attention P Dayan, S Kakade, PR Montague Nature neuroscience 3 (11), 1218-1223, 2000	455	2000
Approximately optimal approximate reinforcement learning S Kakade, J Langford MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 267-274, 2002	437	2002
Multi-label prediction via compressed sensing DJ Hsu, SM Kakade, J Langford, T Zhang Advances in neural information processing systems, 772-780, 2009	432	2009
Dopamine: generalization and bonuses S Kakade, P Dayan Neural Networks 15 (4-6), 549-559, 2002	416	2002
How to escape saddle points efficiently C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan arXiv preprint arXiv:1703.00887, 2017	402	2017
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	385	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	385	2011
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	288	2012
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	283	2013
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	270	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	270	2012

Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.

Articles 1–20

Nombre de citations par an

Citations en double

Citations fusionnées

Ajouter les coauteursCoauteurs

Importer un PDF

Suivre les mises à jour de cet auteur

Citée par

Coauteurs