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Idan Attias
Idan Attias
PhD candidate, Ben Gurion University
Zweryfikowany adres z post.bgu.ac.il - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Improved generalization bounds for adversarially robust learning
I Attias, A Kontorovich, Y Mansour
Journal of Machine Learning Research 23 (175), 1-31, 2022
102*2022
Prediction with Corrupted Expert Advice
I Amir, I Attias, T Koren, R Livni, Y Mansour
Advances in Neural Information Processing Systems 33, 2020
342020
A framework for adversarial streaming via differential privacy and difference estimators
I Attias, E Cohen, M Shechner, U Stemmer
arXiv preprint arXiv:2107.14527, 2021
262021
Fat-Shattering Dimension of -fold Aggregations
I Attias, A Kontorovich
arXiv preprint arXiv:2110.04763, 2021
12*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
112022
Domain invariant adversarial learning
M Levi, I Attias, A Kontorovich
arXiv preprint arXiv:2104.00322, 2021
112021
Adversarially Robust PAC Learnability of Real-Valued Functions
I Attias, S Hanneke
International Conference on Machine Learning, 1172-1199, 2023
102023
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
82023
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
62023
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
22024
Agnostic Sample Compression Schemes for Regression
I Attias, S Hanneke, A Kontorovich, M Sadigurschi
arXiv e-prints, arXiv: 1810.01864, 2018
2*2018
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
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