Idan Attias
Hello!
I'm a final-year PhD student in the Department of Computer Science at Ben-Gurion University. I have the privilege of being advised by Prof. Aryeh Kontorovich and Prof. Yishay Mansour.
Research interests
My primary research interests lie in the foundations of machine learning theory and data-driven sequential decision-making, and its intersection with game theory, optimization, statistics, private data analysis, causal inference, and information theory.
Recent news and activities
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I'll be at Vector Institute to work with Daniel Roy and Karolina Dziugaite as a research intern starting August '23
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Received the Friedman Award for outstanding research achievements
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Visiting Archimedes AI in Athena Research and Innovation Center (Jul 2022)
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Awarded the Kreitman Dean's List for PhD Students, 2021/2022 (top 5%)
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Visiting the Learning and Games program at Simon’s Institute (Jan-Mar 2022)
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Received the Israeli Council of Higher Education scholarship (VATAT) for outstanding PhD students in data science
Preprints
Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi
Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Danial M. Roy
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Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginal
Idan Attias, Ziyi Liu, Danial M. Roy
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Universal Rates for Real-Valued Regression: Separations between Cut-Off and Absolute Loss
Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas
Publications
Idan Attias, Aryeh Kontorovich
Journal of Machine Learning Research
Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas
37th Annual Conference on Neural Information Processing Systems NeurIPS 2023 Oral
Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson
36th Annual Conference on Learning Theory COLT 2023
Idan Attias, Steve Hanneke
40th International Conference on Machine Learning ICML 2023
Eitan-Hai Mashiah, Idan Attias, Yishay Mansour
37th Conference on Artificial Intelligence AAAI 2023 Oral
Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer
14th Innovations in Theoretical Computer Science ITCS 2023
Idan Attias, Steve Hanneke, Yishay Mansour
36th Annual Conference on Neural Information Processing Systems NeurIPS 2022
*Matan Levi, Idan Attias, Aryeh Kontorovich
Transactions on Machine Learning Research TMLR 2022
Idan Amir, Idan Attias, Tomer Koren, Roi Livni, Yishay Mansour
34th Annual Conference on Neural Information Processing Systems NeurIPS 2020 Spotlight
Idan Attias, Aryeh Kontorovich, Yishay Mansour
Journal of Machine Learning Research, Vol. 23 JMLR 2022
Preliminary version: 30th International Conference on Algorithmic Learning Theory ALT 2019
Contribution is equal unless marked by *
Service
Routinely I serve as a reviewer at the conferences NeurIPS, ICML, COLT, AISTATS, ALT, AAAI, and the journals JMLR and TMLR.
Teaching
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Introduction to Machine Learning, Ben-Gurion University
Teaching Assistant: Fall 23
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Computational Models, Ben-Gurion University
Teaching Assistant: Spring 20, Spring 21, Spring 22, Spring 23
[Regular languages and finite automata, Grammars and Context-Free Languages, Turing Machines and Computability, Introduction to complexity]
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Design of Algorithms, Ben-Gurion University
Teaching Assistant: Fall 21, Fall 22
[Reductions, Greedy algorithms, Dynamic programming, Shortest path, Maximum flow, Randomized algorithms, Linear programming, Approximation algorithms]
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Theory of Interactive Learning (graduate-level course), Ben-Gurion University
Grader: Spring 22
[PAC learning, VC theory, Active learning]
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Introduction to Computer Science, Ben-Gurion University
Teaching Assistant: Fall 20
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Discrete Math, Tel Aviv University
Grader: Fall 16
Contact
>>> Email = "idanattias88"+chr(64)+".".join(["gmail","com"])
Tel Aviv University — Check Point Building, Room 441, Blavatnik School of Computer Science
Ben-Gurion University — Alon Building, Room 318, Department of Computer Science