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
Roi WeissAriel UniversityVerified email at ariel.ac.il
Geoffrey WolferRIKEN AIPVerified email at riken.jp
Steve HannekePurdue UniversityVerified email at ttic.edu
Robert KrauthgamerWeizmann Institute of ScienceVerified email at weizmann.ac.il
Idan AttiasPhD candidate, Ben Gurion UniversityVerified email at post.bgu.ac.il
Sivan SabatoBen Gurion University of the NegevVerified email at cs.bgu.ac.il
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.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, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Corinna CortesGoogle Research, NYVerified email at google.com
Kavita RamananBrown UniversityVerified email at brown.edu
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Matan LeviResearch scientist, IBM Research | Ben gurion universityVerified email at post.bgu.ac.il
Menachem SadigurschiPhD student, Ben Gurion University of the NegevVerified email at post.bgu.ac.il
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevVerified email at bgu.ac.il
Lev ReyzinProfessor of Mathematics, Statistics, and Computer Science; University of Illinois at ChicagoVerified email at uic.edu

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	185	2008
A finite sample analysis of the Naive Bayes classifier. D Berend, A Kontorovich J. Mach. Learn. Res. 16 (1), 1519-1545, 2015	82*	2015
Efficient classification for metric data LA Gottlieb, A Kontorovich, R Krauthgamer IEEE Transactions on Information Theory 60 (9), 5750-5759, 2014	82	2014
On the concentration of the missing mass D Berend, A Kontorovich	76	2013
Mixing time estimation in reversible Markov chains from a single sample path D Hsu, A Kontorovich, DA Levin, Y Peres, C Szepesvári, G Wolfer	72*	2019
Advanced analytics for connected car cybersecurity M Levi, Y Allouche, A Kontorovich 2018 IEEE 87th vehicular technology conference (VTC spring), 1-7, 2018	71	2018
Improved generalization bounds for robust learning I Attias, A Kontorovich, Y Mansour Algorithmic Learning Theory, 162-183, 2019	68	2019
A sharp estimate of the binomial mean absolute deviation with applications D Berend, A Kontorovich Statistics & Probability Letters 83 (4), 1254-1259, 2013	68*	2013
Near-optimal sample compression for nearest neighbors LA Gottlieb, A Kontorovich, P Nisnevitch Advances in Neural Information Processing Systems 27, 2014	58	2014
Concentration in unbounded metric spaces and algorithmic stability A Kontorovich International Conference on Machine Learning, 28-36, 2014	52	2014
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	50*	2017
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	49	2011
Kernel methods for learning languages LA Kontorovich, C Cortes, M Mohri Theoretical Computer Science 405 (3), 223-236, 2008	46*	2008
A Bayes consistent 1-NN classifier A Kontorovich, R Weiss Artificial Intelligence and Statistics, 480-488, 2015	43	2015
On learning parametric-output HMMs A Kontorovich, B Nadler, R Weiss International Conference on Machine Learning, 702-710, 2013	40	2013
Predictive PAC learning and process decompositions C Shalizi, A Kontorovich Advances in neural information processing systems 26, 2013	38	2013
Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-type inequalities for Markov chains and related processes A Kontorovich, R Weiss Arxiv preprint arXiv:1207.4678, 2012	37	2012
Estimating the mixing time of ergodic markov chains G Wolfer, A Kontorovich Conference on Learning Theory, 3120-3159, 2019	34	2019
Adaptive metric dimensionality reduction LA Gottlieb, A Kontorovich, R Krauthgamer Theoretical Computer Science 620, 105-118, 2016	34	2016
Maximum margin multiclass nearest neighbors A Kontorovich, R Weiss International conference on machine learning, 892-900, 2014	34	2014

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