Research output per year
Research output per year
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Dive into the research topics where Aryeh Kontorovich is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Exact Expressions for the Maximal Probability that all k-wise Independent Bits are 1
Berend, D., Ernst, P. A., Kontorovich, A. & Kumar, R., 1 Sep 2026, In: Journal of Theoretical Probability. 39, 3, 58.Research output: Contribution to journal › Article › peer-review
Open Access -
Non-parametric binary regression in metric spaces with logarithmic loss
Avital, A., Efremenko, K., Kontorovich, A., Tolpin, D. & Waggoner, B., 1 Jan 2026, (Accepted/In press) In: Annals of Mathematics and Artificial Intelligence.Research output: Contribution to journal › Article › peer-review
Open Access -
Bounded Variation Separates Weak and Strong Average Lipschitz
Elperin, A. & Kontorovich, A., 1 Sep 2025, In: Entropy. 27, 9, 974.Research output: Contribution to journal › Article › peer-review
Open Access -
Distribution Estimation under the Infinity Norm
Kontorovich, A. & Painsky, A., 1 Jan 2025, In: Journal of Machine Learning Research. 26Research output: Contribution to journal › Article › peer-review
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On the tensorization of the variational distance
Kontorovich, A., 1 Jan 2025, In: Electronic Communications in Probability. 30, 32.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Sharp bounds on aggregate expert error
Kontorovich, A. & Avital, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 272, p. 653-663 11 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Super-Teaching in Machine Learning
Barak-Pelleg, D., Berend, D. & Kontorovich, A., 1 Jan 2025, Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. Dolev, S., Elhadad, M., Kutyłowski, M. & Persiano, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 335-342 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
Cohen, D., Kontorovich, A. & Weiss, R., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 11173-11184 12 p.Research output: Contribution to journal › Conference article › peer-review
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Agnostic Sample Compression Schemes for Regression
Attias, I., Hanneke, S., Kontorovich, A. & Sadigurschi, M., 1 Jan 2024, In: Proceedings of Machine Learning Research. 235, p. 2069-2085 17 p.Research output: Contribution to journal › Conference article › peer-review
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Correction to: Efficient Kirszbraun extension with applications to regression (Mathematical Programming, (2024), 207, 1-2, (617-642), 10.1007/s10107-023-02023-6)
Zaichyk, H., Biess, A., Kontorovich, A. & Makarychev, Y., 1 Sep 2024, In: Mathematical Programming. 207, 1-2, p. 643 1 p.Research output: Contribution to journal › Comment/debate
Open Access
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Optimistic learning in metric spaces: beyond the worst case
Kontorovich, A. (PI) & Gottlieb, L. A. (CoPI)
1/01/19 → 31/12/22
Project: Research
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Optimistic learning in metric spaces: beyond the worst case
Kontorovich, A. (PI) & Gottlieb, L. A. (CoPI)
1/01/19 → 31/12/22
Project: Research
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Efficient Learning in Metric Spaces
Kontorovich, A. (PI) & Gottlieb, L. A. (CoPI)
1/01/15 → 31/12/18
Project: Research
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