Aryeh Kontorovich
Aryeh Kontorovich
Professor of Computer Science at Ben-Gurion University
Verified email at - Homepage
Cited by
Cited by
Concentration inequalities for dependent random variables via the martingale method
LA Kontorovich, K Ramanan
Annals of Probability 36 (6), 2126-2158, 2008
Efficient classification for metric data
LA Gottlieb, A Kontorovich, R Krauthgamer
IEEE Transactions on Information Theory 60 (9), 5750-5759, 2014
A finite sample analysis of the Naive Bayes classifier.
D Berend, A Kontorovich
J. Mach. Learn. Res. 16 (1), 1519-1545, 2015
On the concentration of the missing mass
D Berend, A Kontorovich
Electronic Communications in Probability 18, 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
Annals of Applied Probability 29 (4), 2439-2480, 2019
A sharp estimate of the binomial mean absolute deviation with applications
D Berend, A Kontorovich
Statistics & Probability Letters 83 (4), 1254-1259, 2013
Kernel methods for learning languages
LA Kontorovich, C Cortes, M Mohri
Theoretical Computer Science 405 (3), 223-236, 2008
Near-optimal sample compression for nearest neighbors
LA Gottlieb, A Kontorovich, P Nisnevitch
IEEE Transactions on Information Theory 64 (6), 4120-4128, 2018
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
Improved generalization bounds for robust learning
I Attias, A Kontorovich, Y Mansour
Algorithmic Learning Theory, 162-183, 2019
Advanced analytics for connected car cybersecurity
M Levi, Y Allouche, A Kontorovich
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-7, 2018
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
Concentration in unbounded metric spaces and algorithmic stability
A Kontorovich
International Conference on Machine Learning, 28-36, 2014
On learning parametric-output HMMs
A Kontorovich, B Nadler, R Weiss
International Conference on Machine Learning, 702-710, 2013
A Bayes consistent 1-NN classifier
A Kontorovich, R Weiss
Artificial Intelligence and Statistics, 480-488, 2015
Predictive PAC learning and process decompositions
CR Shalizi, A Kontorovich
Advances in neural information processing systems 26, 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
Evidence for separate processing in the human brainstem of interaural intensity and temporal disparities for sound lateralization
H Pratt, A Polyakov, L Kontorovich
Hearing research 108 (1-2), 1-8, 1997
Exploiting label dependencies for improved sample complexity
L Chekina, D Gutfreund, A Kontorovich, L Rokach, B Shapira
Machine learning 91 (1), 1-42, 2013
Maximum margin multiclass nearest neighbors
A Kontorovich, R Weiss
International conference on machine learning, 892-900, 2014
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