Ran El-Yaniv

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Daniel SoudryAssociate ProfessorVerified email at technion.ac.il
Itay HubaraPhD candidate at the Technion -Israel Institute of TechnologyVerified email at campus.technion.ac.il
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Matthieu CourbariauxUniversité de MontréalVerified email at umontreal.ca
Allan BorodinProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Yonatan GeifmanTechnion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Ron MeirProfessor of Electrical Engineeringe, TechnionVerified email at ee.technion.ac.il
Yair WienerJether EnergyVerified email at jether-energy.com
Ron BekkermanCTO, CherreVerified email at cherre.com
Dani LischinskiHebrew UniversityVerified email at mail.huji.ac.il
Michael WermanThe Hebrew UniversityVerified email at mail.huji.ac.il
Ziv Bar-JosephProfessor of Computational Biology and Machine Learning, School of Computer Science, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Amos FiatProfessor of Computer Science, Tel Aviv UniversityVerified email at tau.ac.il
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
Ran Gilad-BachrachTel-Aviv UniversityVerified email at tauex.tau.ac.il
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Ron KanielUniversity of RochesterVerified email at simon.rochester.edu
Nati LinialProfessor of Computer Science, The Hebrew University of JerusalemVerified email at cs.huji.ac.il
Yossi MandelBar Ilan UniversityVerified email at biu.ac.il
Elad Yom-TovMicrosoft ResearchVerified email at yom-tov.info

Ran El-Yaniv

Professor of Computer Science, Technion - Israel Institute of Technology

Verified email at cs.technion.ac.il - Homepage

Machine learning deep learning financial modeling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Online computation and competitive analysis A Borodin, R El-Yaniv Cambridge University Press 2, 123-149, 1998	3129*	1998
Binarynet: Training deep neural networks with weights and activations constrained to+ 1 or-1 YB M Courbariaux	2562*
Binarized Neural Networks: Training Neural Networks with Weights and Activations Constrained to+ 1 or− B Courbariaux, Hubara, Soudry, El-Yaniv arXiv preprint arXiv:1602.02830, 2016	2532	2016
Binarized neural networks I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio Advances in neural information processing systems 29, 2016	1676	2016
Quantized neural networks: Training neural networks with low precision weights and activations I Hubara, M Courbariaux, D Soudry, R El-Yaniv, Y Bengio The Journal of Machine Learning Research 18 (1), 6869-6898, 2017	1516	2017
On prediction using variable order Markov models R Begleiter, R El-Yaniv, G Yona J. Artif. Intell. Res. (JAIR) 22, 385-421, 2004	512	2004
Online choice of active learning algorithms Y Baram, RE Yaniv, K Luz Journal of Machine Learning Research 5 (Mar), 255-291, 2004	471	2004
Distributional word clusters vs. words for text categorization YW R Bekkerman, R El-Yaniv, N Tishby Journal of Machine Learning Research 1, 1-48, 2002	450*	2002
Distributional word clusters vs. words for text categorization YW R Bekkerman, R El-Yaniv, N Tishby Journal of Machine Learning Research, 2002	450*	2002
Texture mixing and texture movie synthesis using statistical learning Z Bar-Joseph, R El-Yaniv, D Lischinski, M Werman IEEE Transactions on visualization and computer graphics 7 (2), 120-135, 2001	335	2001
Deep anomaly detection using geometric transformations I Golan, R El-Yaniv Advances in neural information processing systems 31, 2018	334	2018
Selective classification for deep neural networks Y Geifman, R El-Yaniv Advances in neural information processing systems 30, 2017	282	2017
Can we learn to beat the best stock A Borodin, R El-Yaniv, V Gogan Advances in Neural Information Processing Systems 16, 2003	222	2003
Optimal search and one-way trading online algorithms R El-Yaniv, A Fiat, RM Karp, G Turpin Algorithmica 30 (1), 101-139, 2001	212	2001
On the Foundations of Noise-free Selective Classification. R El-Yaniv Journal of Machine Learning Research 11 (5), 2010	196	2010
On feature distributional clustering for text categorization R Bekkerman, R El-Yaniv, N Tishby, Y Winter Proceedings of the 24th annual international ACM SIGIR conference on …, 2001	192	2001
Multi-way distributional clustering via pairwise interactions R Bekkerman, R El-Yaniv, A McCallum Proceedings of the 22nd international conference on Machine learning, 41-48, 2005	144	2005
Selectivenet: A deep neural network with an integrated reject option Y Geifman, R El-Yaniv International conference on machine learning, 2151-2159, 2019	142	2019
Competitive analysis of financial games R El-Yaniv, A Fiat, R Karp, G Turpin ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE 33, 327-327, 1992	136	1992
Competitive optimal on-line leasing R El-Yaniv, R Kaniel, N Linial Algorithmica 25 (1), 116-140, 1999	113	1999

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