Idan Attias

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Aryeh KontorovichProfessor of Computer Science at Ben-Gurion UniversityVerifierad e-postadress på cs.bgu.ac.il
Yishay MansourTel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Steve HannekePurdue UniversityVerifierad e-postadress på ttic.edu
Roi LivniTel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Verifierad e-postadress på utoronto.ca
Amin KarbasiRobust Intelligence, Yale University (on leave)Verifierad e-postadress på yale.edu
Grigoris VelegkasYale UniversityVerifierad e-postadress på yale.edu
Alkis KalavasisYale UniversityVerifierad e-postadress på yale.edu
Tomer KorenAssociate Professor at Tel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Idan AmirPhD candidate, Tel Aviv UniversityVerifierad e-postadress på mail.tau.ac.il
Menachem SadigurschiData scientist, IntentIQ, Ph.D. from Ben Gurion UniversityVerifierad e-postadress på post.bgu.ac.il
Uri StemmerTel Aviv UniversityVerifierad e-postadress på tau.ac.il
Edith CohenGoogle, Tel Aviv UniversityVerifierad e-postadress på alumni.stanford.edu
Moshe ShechnerPhD student, Computer Science, Tel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Constantinos DaskalakisProfessor of Computer Science, MITVerifierad e-postadress på csail.mit.edu
Yuval DaganTel Aviv UniversityVerifierad e-postadress på tauex.tau.ac.il
Gintare Karolina DziugaiteGoogle DeepMindVerifierad e-postadress på google.com
Mahdi HaghifamNortheastern UniversityVerifierad e-postadress på northeastern.edu
Maxwell FishelsonMITVerifierad e-postadress på mit.edu
Angelos AssosMITVerifierad e-postadress på mit.edu

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Idan Attias

Postdoctoral Researcher, IDEAL Institute (UIC and TTIC)

Verifierad e-postadress på ttic.edu - Startsida

Machine learning Learning theory Theoretical computer science


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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
Prediction with Corrupted Expert Advice I Amir, I Attias, T Koren, R Livni, Y Mansour Advances in Neural Information Processing Systems 33, 2020	43	2020
A framework for adversarial streaming via differential privacy and difference estimators I Attias, E Cohen, M Shechner, U Stemmer Algorithmica, 1-56, 2021	35	2021
Optimal learners for realizable regression: Pac learning and online learning I Attias, S Hanneke, A Kalavasis, A Karbasi, G Velegkas Advances in Neural Information Processing Systems 36, 44707-44739, 2023	25	2023
A characterization of semi-supervised adversarially robust pac learnability I Attias, S Hanneke, Y Mansour Advances in Neural Information Processing Systems 35, 23646-23659, 2022	20	2022
Adversarially Robust PAC Learnability of Real-Valued Functions I Attias, S Hanneke International Conference on Machine Learning, 1172-1199, 2023	18	2023
Fat-shattering dimension of k-fold aggregations I Attias, A Kontorovich Journal of Machine Learning Research 25 (144), 1-29, 2024	17*	2024
Information complexity of stochastic convex optimization: Applications to generalization and memorization I Attias, GK Dziugaite, M Haghifam, R Livni, DM Roy arXiv preprint arXiv:2402.09327, 2024	14*	2024
Online learning and solving infinite games with an erm oracle A Assos, I Attias, Y Dagan, C Daskalakis, MK Fishelson The Thirty Sixth Annual Conference on Learning Theory, 274-324, 2023	14	2023
Domain invariant adversarial learning M Levi, I Attias, A Kontorovich Transactions on Machine Learning Research (2022), 2021	13	2021
Agnostic Sample Compression Schemes for Regression I Attias, S Hanneke, A Kontorovich, M Sadigurschi Forty-first International Conference on Machine Learning, 2024	8*	2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss I Attias, S Hanneke, A Kalavasis, A Karbasi, G Velegkas The Thirty Seventh Annual Conference on Learning Theory, 359-405, 2024	3	2024
Learning revenue maximization using posted prices for stochastic strategic patient buyers EH Mashiah, I Attias, Y Mansour Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9090-9098, 2023	2	2023
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood Z Liu, I Attias, DM Roy arXiv preprint arXiv:2410.03849, 2024	1	2024
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals Z Liu, I Attias, DM Roy Forty-first International Conference on Machine Learning, 2024	1	2024
Fixed Point Computation: Beating Brute Force with Smoothed Analysis I Attias, Y Dagan, C Daskalakis, R Yao, M Zampetakis arXiv preprint arXiv:2501.10884, 2025		2025
Sample Compression Scheme Reductions I Attias, S Hanneke, A Ramaswami arXiv preprint arXiv:2410.13012, 2024		2024
Advances in Robust Statistical Learning Theory I Attias Ben-Gurion University of the Negev, 2024		2024

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