Koby Crammer

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Fernando PereiraVP, GoogleVerifisert e-postadresse på google.com
Mark DredzeJohns Hopkins UniversityVerifisert e-postadresse på cs.jhu.edu
Alex KuleszaResearch Scientist, GoogleVerifisert e-postadresse på google.com
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerifisert e-postadresse på microsoft.com
Partha TalukdarGoogle Research and IISc BangaloreVerifisert e-postadresse på iisc.ac.in
Shai Ben-DavidUniverity of Waterloo, CanadaVerifisert e-postadresse på uwaterloo.ca
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionVerifisert e-postadresse på technion.ac.il
Shai Shalev-ShwartzThe Hebrew UniversityVerifisert e-postadresse på cs.huji.ac.il
Ofer DekelMicrosoft ResearchVerifisert e-postadresse på microsoft.com
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerifisert e-postadresse på technion.ac.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerifisert e-postadresse på cis.upenn.edu
Slobodan VuceticProfessor of Computer Science, Temple UniversityVerifisert e-postadresse på temple.edu
Hadas BenistyTechnionVerifisert e-postadresse på technion.ac.il
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of Technology. Chief Scientist - Deci AIVerifisert e-postadresse på cs.technion.ac.il
David MalahProfessor Emeritus, Electrical and Computer Engineering, Technion - I.I.TVerifisert e-postadresse på ee.technion.ac.il
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerifisert e-postadresse på cs.berkeley.edu
Yevgeny SeldinProfessor, Department of Computer Science, University of CopenhagenVerifisert e-postadresse på di.ku.dk
Kuzman GanchevGoogle IncVerifisert e-postadresse på google.com
Francesco OrabonaAssociate Professor, KAUSTVerifisert e-postadresse på orabona.com
Axel BernalData Scientist, Human Longevity IncVerifisert e-postadresse på humanlongevity.com

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Koby Crammer

Professor of Electrical Engineering, Technion - Israel Institute of Technology

Verifisert e-postadresse på ee.technion.ac.il

Machine Learning Big Data


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
A theory of learning from different domains S Ben-David, J Blitzer, K Crammer, A Kulesza, F Pereira, JW Vaughan Machine learning 79 (1-2), 151-175, 2010	4008	2010
On the algorithmic implementation of multiclass kernel-based vector machines K Crammer, Y Singer Journal of machine learning research 2 (Dec), 265-292, 2001	3037	2001
Analysis of representations for domain adaptation S Ben-David, J Blitzer, K Crammer, F Pereira Advances in neural information processing systems, 137-144, 2007	2727	2007
Online passive-aggressive algorithms K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer Journal of Machine Learning Research 7 (Mar), 551-585, 2006	2639	2006
Online large-margin training of dependency parsers R McDonald, K Crammer, F Pereira Proceedings of the 43rd annual meeting on association for computational …, 2005	1037	2005
On the learnability and design of output codes for multiclass problems K Crammer, Y Singer Machine learning 47 (2-3), 201-233, 2002	1003	2002
Pranking with ranking K Crammer, Y Singer Advances in neural information processing systems, 641-647, 2002	906	2002
Ultraconservative online algorithms for multiclass problems K Crammer, Y Singer Journal of Machine Learning Research 3 (Jan), 951-991, 2003	774	2003
Learning bounds for domain adaptation J Blitzer, K Crammer, A Kulesza, F Pereira, J Wortman Advances in neural information processing systems, 129-136, 2008	607	2008
Confidence-weighted linear classification M Dredze, K Crammer, F Pereira Proceedings of the 25th international conference on Machine learning, 264-271, 2008	587	2008
Adaptive regularization of weight vectors K Crammer, A Kulesza, M Dredze Advances in neural information processing systems, 414-422, 2009	402	2009
Learning from multiple sources K Crammer, M Kearns, J Wortman Journal of Machine Learning Research 9 (Aug), 1757-1774, 2008	339	2008
Margin analysis of the LVQ algorithm K Crammer, R Gilad-Bachrach, A Navot, N Tishby Advances in neural information processing systems, 479-486, 2003	327	2003
New regularized algorithms for transductive learning PP Talukdar, K Crammer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	302	2009
A family of additive online algorithms for category ranking K Crammer, Y Singer Journal of Machine Learning Research 3 (Feb), 1025-1058, 2003	262	2003
Breaking the curse of kernelization: Budgeted stochastic gradient descent for large-scale svm training Z Wang, K Crammer, S Vucetic Journal of Machine Learning Research 13 (Oct), 3103-3131, 2012	256	2012
Robust support vector machine training via convex outlier ablation L Xu, K Crammer, D Schuurmans AAAI 6, 536-542, 2006	218	2006
Online classification on a budget K Crammer, J Kandola, Y Singer Advances in neural information processing systems, 225-232, 2004	212	2004
Exact convex confidence-weighted learning K Crammer, M Dredze, F Pereira Advances in Neural Information Processing Systems 21, 2008	190	2008
Kernel design using boosting K Crammer, J Keshet, Y Singer Advances in neural information processing systems, 553-560, 2003	185	2003

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