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Idan Attias
Idan Attias
Postdoctoral Researcher, IDEAL Institute (UIC and TTIC)
E-mail confirmado em ttic.edu - Página inicial
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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
442020
A framework for adversarial streaming via differential privacy and difference estimators
I Attias, E Cohen, M Shechner, U Stemmer
Algorithmica, 1-56, 2021
352021
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
252023
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
202022
Adversarially Robust PAC Learnability of Real-Valued Functions
I Attias, S Hanneke
International Conference on Machine Learning, 1172-1199, 2023
182023
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
16*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
142023
Domain invariant adversarial learning
M Levi, I Attias, A Kontorovich
Transactions on Machine Learning Research (2022), 2021
132021
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
32024
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
22023
Sequential probability assignment with contexts: Minimax regret, contextual shtarkov sums, and contextual normalized maximum likelihood
Z Liu, I Attias, D Roy
Advances in Neural Information Processing Systems 37, 13982-14015, 2024
12024
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
12024
PAC Learning with Improvements
I Attias, A Blum, K Naggita, D Saless, D Sharma, M Walter
arXiv preprint arXiv:2503.03184, 2025
2025
On the Dichotomy Between Privacy and Traceability in Stochastic Convex Optimization
S Voitovych, M Haghifam, I Attias, GK Dziugaite, R Livni, DM Roy
arXiv preprint arXiv:2502.17384, 2025
2025
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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Artigos 1–20