Idan Attias

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Aryeh KontorovichProfessor of Computer Science at Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Steve HannekePurdue UniversityVerified email at ttic.edu
Roi LivniTel Aviv UniversityVerified email at tauex.tau.ac.il
Tomer KorenAssociate Professor at Tel Aviv UniversityVerified email at tauex.tau.ac.il
Idan AmirPhD candidate, Tel Aviv UniversityVerified email at mail.tau.ac.il
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Verified email at utoronto.ca
Uri StemmerTel Aviv UniversityVerified email at tau.ac.il
Edith CohenGoogle, Tel Aviv UniversityVerified email at alumni.stanford.edu
Moshe ShechnerPhD student, Computer Science, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Amin KarbasiRobust Intelligence, Yale University (on leave)Verified email at yale.edu
Grigoris VelegkasYale UniversityVerified email at yale.edu
Alkis KalavasisYale UniversityVerified email at yale.edu
Matan LeviResearch scientist, IBM Research | Ben gurion universityVerified email at post.bgu.ac.il
Gintare Karolina DziugaiteGoogle DeepMindVerified email at google.com
Constantinos DaskalakisProfessor of Computer Science, MITVerified email at csail.mit.edu
Maxwell FishelsonMITVerified email at mit.edu
Angelos AssosMITVerified email at mit.edu
Yuval DaganMITVerified email at mit.edu
Menachem SadigurschiData scientist, IntentIQ, Ph.D. from Ben Gurion UniversityVerified email at post.bgu.ac.il

Idan Attias

Postdoctoral Researcher, IDEAL Institute (UIC and TTIC)

Verified email at ttic.edu - Homepage

Machine Learning Learning Theory Game Theory Differential Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Improved generalization bounds for adversarially robust learning I Attias, A Kontorovich, Y Mansour Journal of Machine Learning Research 23 (175), 1-31, 2022	108*	2022
Prediction with Corrupted Expert Advice I Amir, I Attias, T Koren, R Livni, Y Mansour Advances in Neural Information Processing Systems 33, 2020	38	2020
A framework for adversarial streaming via differential privacy and difference estimators I Attias, E Cohen, M Shechner, U Stemmer Algorithmica, 1-56, 2021	29	2021
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	14	2022
Fat-Shattering Dimension of k-fold Aggregations I Attias, A Kontorovich Journal of Machine Learning Research 25 (144), 1-29, 2024	12*	2024
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, 2023	12	2023
Adversarially Robust PAC Learnability of Real-Valued Functions I Attias, S Hanneke International Conference on Machine Learning, 1172-1199, 2023	12	2023
Domain invariant adversarial learning M Levi, I Attias, A Kontorovich Transactions on Machine Learning Research (2022), 2021	12	2021
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	8	2023
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	4	2024
Agnostic Sample Compression Schemes for Regression I Attias, S Hanneke, A Kontorovich, M Sadigurschi Forty-first International Conference on Machine Learning, 2018	3*	2018
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		2024
The Minimax Regret of Sequential Probability Assignment, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood Z Liu, I Attias, DM Roy ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 2024		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		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		2023
Improved generalization bounds for adversarially robust learning I Attias, A Kontorovich, Y Mansour Journal of Machine Learning Research 23 (175), 1-31, 2022		2022

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