Aryeh Kontorovich

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Lee-Ad GottliebAssociate Professor, Computer Science, Ariel UniversityVerified email at ariel.ac.il
Daniel BerendBen-Gurion University of the NegevVerified email at cs.bgu.ac.il
Geoffrey WolferWaseda UniversityVerified email at aoni.waseda.jp
Steve HannekePurdue UniversityVerified email at ttic.edu
Roi WeissAriel UniversityVerified email at ariel.ac.il
Idan AttiasPostdoctoral Researcher, IDEAL Institute (UIC and TTIC)Verified email at ttic.edu
Robert KrauthgamerWeizmann Institute of ScienceVerified email at weizmann.ac.il
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector InstituteVerified email at mcmaster.ca
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Menachem SadigurschiData scientist, IntentIQ, Ph.D. from Ben Gurion UniversityVerified email at post.bgu.ac.il
Matan LeviResearch scientist, IBM Research | Ben gurion universityVerified email at post.bgu.ac.il
Ari TrachtenbergProfessor of Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Boaz NadlerWeizmann Institute of Science, IsraelVerified email at weizmann.ac.il
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Corinna CortesGoogle Research, NYVerified email at google.com
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Kavita RamananBrown UniversityVerified email at brown.edu
Gabriel NivaschAriel UniversityVerified email at ariel.ac.il
Yair Allouchesenior Security researcher at IBM research labVerified email at il.ibm.com

Aryeh Kontorovich

Professor of Computer Science at Ben-Gurion University

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

probability theory and statistics machine learning automata theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Concentration inequalities for dependent random variables via the martingale method L Kontorovich, K Ramanan	212	2008
Improved generalization bounds for adversarially robust learning I Attias, A Kontorovich, Y Mansour Journal of Machine Learning Research 23 (175), 1-31, 2022	110*	2022
A finite sample analysis of the Naive Bayes classifier. D Berend, A Kontorovich J. Mach. Learn. Res. 16 (1), 1519-1545, 2015	110*	2015
Advanced analytics for connected car cybersecurity M Levi, Y Allouche, A Kontorovich 2018 IEEE 87th vehicular technology conference (VTC spring), 1-7, 2018	106	2018
Mixing time estimation in reversible Markov chains from a single sample path D Hsu, A Kontorovich, DA Levin, Y Peres, C Szepesvári, G Wolfer	98*	2019
Efficient classification for metric data LA Gottlieb, A Kontorovich, R Krauthgamer IEEE Transactions on Information Theory 60 (9), 5750-5759, 2014	98	2014
A sharp estimate of the binomial mean absolute deviation with applications D Berend, A Kontorovich Statistics & Probability Letters 83 (4), 1254-1259, 2013	93*	2013
On the concentration of the missing mass D Berend, A Kontorovich	87	2013
Efficient regression in metric spaces via approximate lipschitz extension LA Gottlieb, A Kontorovich, R Krauthgamer IEEE Transactions on Information Theory 63 (8), 4838-4849, 2017	74*	2017
Concentration in unbounded metric spaces and algorithmic stability A Kontorovich International conference on machine learning, 28-36, 2014	69	2014
Near-optimal sample compression for nearest neighbors LA Gottlieb, A Kontorovich, P Nisnevitch Advances in Neural Information Processing Systems 27, 2014	68	2014
Statistical estimation of ergodic Markov chain kernel over discrete state space G Wolfer, A Kontorovich	60*	2021
Universal Bayes consistency in metric spaces S Hanneke, A Kontorovich, S Sabato, R Weiss Ann. Statist. 49(4): 2129-2150 (August 2021). DOI: 10.1214/20-AOS2029, 2021	59	2021
Model selection for sinusoids in noise: Statistical analysis and a new penalty term B Nadler, A Kontorovich IEEE Transactions on Signal Processing 59 (4), 1333-1345, 2011	53	2011
Adaptive metric dimensionality reduction LA Gottlieb, A Kontorovich, R Krauthgamer Theoretical Computer Science 620, 105-118, 2016	52	2016
Kernel methods for learning languages LA Kontorovich, C Cortes, M Mohri Theoretical Computer Science 405 (3), 223-236, 2008	51*	2008
Estimating the mixing time of ergodic markov chains G Wolfer, A Kontorovich Conference on Learning Theory, 3120-3159, 2019	48	2019
A Bayes consistent 1-NN classifier A Kontorovich, R Weiss Artificial Intelligence and Statistics, 480-488, 2015	48	2015
On learning parametric-output HMMs A Kontorovich, B Nadler, R Weiss International Conference on Machine Learning, 702-710, 2013	48	2013
Predictive PAC learning and process decompositions C Shalizi, A Kontorovich Advances in neural information processing systems 26, 2013	45	2013

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