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
Steve HannekePurdue UniversityVerified email at ttic.edu
Geoffrey WolferWaseda UniversityVerified email at aoni.waseda.jp
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
Menachem SadigurschiData scientist, IntentIQ, Ph.D. from Ben Gurion UniversityVerified email at post.bgu.ac.il
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Matan LeviSr. Research Scientist and GenAI Tech Lead, 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


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Concentration inequalities for dependent random variables via the martingale method L Kontorovich, K Ramanan	216	2008
Improved generalization bounds for adversarially robust learning I Attias, A Kontorovich, Y Mansour Journal of Machine Learning Research 23 (175), 1-31, 2022	117*	2022
A finite sample analysis of the Naive Bayes classifier. D Berend, A Kontorovich J. Mach. Learn. Res. 16 (1), 1519-1545, 2015	113*	2015
Advanced analytics for connected car cybersecurity M Levi, Y Allouche, A Kontorovich 2018 IEEE 87th vehicular technology conference (VTC spring), 1-7, 2018	109	2018
Efficient classification for metric data LA Gottlieb, A Kontorovich, R Krauthgamer IEEE Transactions on Information Theory 60 (9), 5750-5759, 2014	104	2014
Mixing time estimation in reversible Markov chains from a single sample path D Hsu, A Kontorovich, DA Levin, Y Peres, C Szepesvári, G Wolfer	99*	2019
A sharp estimate of the binomial mean absolute deviation with applications D Berend, A Kontorovich Statistics & Probability Letters 83 (4), 1254-1259, 2013	95*	2013
On the concentration of the missing mass D Berend, A Kontorovich	89	2013
Concentration in unbounded metric spaces and algorithmic stability A Kontorovich International conference on machine learning, 28-36, 2014	73	2014
Near-optimal sample compression for nearest neighbors LA Gottlieb, A Kontorovich, P Nisnevitch Advances in Neural Information Processing Systems 27, 2014	73	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	72*	2017
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	66	2021
Statistical estimation of ergodic Markov chain kernel over discrete state space G Wolfer, A Kontorovich	65*	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	55	2011
Adaptive metric dimensionality reduction LA Gottlieb, A Kontorovich, R Krauthgamer Theoretical Computer Science 620, 105-118, 2016	53	2016
Estimating the mixing time of ergodic markov chains G Wolfer, A Kontorovich Conference on Learning Theory, 3120-3159, 2019	52	2019
A Bayes consistent 1-NN classifier A Kontorovich, R Weiss Artificial Intelligence and Statistics, 480-488, 2015	52	2015
Kernel methods for learning languages LA Kontorovich, C Cortes, M Mohri Theoretical Computer Science 405 (3), 223-236, 2008	51*	2008
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	46	2013

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