Yoav Freund

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Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Christina LeslieMemorial Sloan-Kettering Cancer CenterVerified email at cbio.mskcc.org
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Eugene IeGoogleVerified email at google.com
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerified email at stanford.edu
Llew MasonAmazonVerified email at amazon.com
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Chris H WigginsAssociate Professor, Columbia UniversityVerified email at columbia.edu
Mayank KabraHHMI, Janelia Research CampusVerified email at janelia.hhmi.org
Ryan KastnerProfessor of Computer Science and Engineering, UCSDVerified email at ucsd.edu
David KleinfeldDistinguished Professor of Physics and Neurobiology, UCSDVerified email at physics.ucsd.edu
Anat LevinTechnionVerified email at ee.technion.ac.il
Paul ViolaMicrosoftVerified email at microsoft.com
Nakul VermaColumbia UniversityVerified email at cs.columbia.edu
Aaron ArveyArvey ConsultingVerified email at ucsf.edu
Kimmen SjolanderProfessor of Bioengineering, University of California, BerkeleyVerified email at berkeley.edu
Meir FederProfessor of Electrical Engineering, Tel-Aviv UniversityVerified email at eng.tau.ac.il

Yoav Freund

UCSD

Verified email at eng.ucsd.edu

Machine Learning Information Theory Statistics Data Science


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A decision-theoretic generalization of on-line learning and an application to boosting Y Freund, RE Schapire Journal of computer and system sciences 55 (1), 119-139, 1997	27141	1997
Experiments with a new boosting algorithm Y Freund, RE Schapire icml 96, 148-156, 1996	12472	1996
A short introduction to boosting Y Freund, R Schapire, N Abe Journal-Japanese Society For Artificial Intelligence 14 (771-780), 1612, 1999	5036	1999
Boosting the margin: A new explanation for the effectiveness of voting methods P Bartlett, Y Freund, WS Lee, RE Schapire The annals of statistics 26 (5), 1651-1686, 1998	3834	1998
The nonstochastic multiarmed bandit problem P Auer, N Cesa-Bianchi, Y Freund, RE Schapire SIAM journal on computing 32 (1), 48-77, 2002	2867	2002
An efficient boosting algorithm for combining preferences Y Freund, R Iyer, RE Schapire, Y Singer Journal of machine learning research 4 (Nov), 933-969, 2003	2845	2003
Boosting a weak learning algorithm by majority Y Freund Information and computation 121 (2), 256-285, 1995	2737	1995
Large margin classification using the perceptron algorithm Y Freund, RE Schapire Proceedings of the eleventh annual conference on Computational learning …, 1998	1931	1998
Selective sampling using the query by committee algorithm Y Freund, HS Seung, E Shamir, N Tishby Machine learning 28, 133-168, 1997	1531	1997
Boosting: Foundations and algorithms RE Schapire, Y Freund Kybernetes 42 (1), 164-166, 2013	1420	2013
The alternating decision tree learning algorithm Y Freund, L Mason icml 99, 124-133, 1999	1224	1999
Gambling in a rigged casino: The adversarial multi-armed bandit problem P Auer, N Cesa-Bianchi, Y Freund, RE Schapire Proceedings of IEEE 36th annual foundations of computer science, 322-331, 1995	1125	1995
How to use expert advice N Cesa-Bianchi, Y Freund, D Haussler, DP Helmbold, RE Schapire, ... Journal of the ACM (JACM) 44 (3), 427-485, 1997	963	1997
Adaptive game playing using multiplicative weights Y Freund, RE Schapire Games and Economic Behavior 29 (1-2), 79-103, 1999	711	1999
Lamellipodial actin mechanically links myosin activity with adhesion-site formation G Giannone, BJ Dubin-Thaler, O Rossier, Y Cai, O Chaga, G Jiang, ... Cell 128 (3), 561-575, 2007	603	2007
Game theory, on-line prediction and boosting Y Freund, RE Schapire Proceedings of the ninth annual conference on Computational learning theory …, 1996	552	1996
An adaptive version of the boost by majority algorithm Y Freund Proceedings of the twelfth annual conference on Computational learning …, 1999	540	1999
Random projection trees and low dimensional manifolds S Dasgupta, Y Freund Proceedings of the fortieth annual ACM symposium on Theory of computing, 537-546, 2008	484	2008
Unsupervised learning of distributions on binary vectors using two layer networks Y Freund, D Haussler Advances in neural information processing systems 4, 1991	441	1991
Using and combining predictors that specialize Y Freund, RE Schapire, Y Singer, MK Warmuth Proceedings of the twenty-ninth annual ACM symposium on Theory of computing …, 1997	345	1997

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