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Idan Attias

Idan Attias

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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




Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi


Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Danial M. Roy

Arxiv   Twitter summary

  • 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

  • Universal Rates for Real-Valued Regression: Separations between Cut-Off and Absolute Loss

Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas



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 

Arxiv Slides

Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson

36th Annual Conference on Learning Theory COLT 2023 

Arxiv Slides


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 

Arxiv Slides

Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer

14th Innovations in Theoretical Computer Science ITCS 2023 

Arxiv Slides

Idan Attias, Steve Hanneke, Yishay Mansour

36th Annual Conference on Neural Information Processing Systems NeurIPS 2022 

Arxiv Slides

*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 

Arxiv Slides

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 *



Routinely I serve as a reviewer at the conferences NeurIPS, ICML, COLT, AISTATS, ALT, AAAI, and the journals JMLR and TMLR. 



  • Introduction to Machine Learning, Ben-Gurion University

       Teaching Assistant: Fall 23​

  • 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]

  • 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]

  • Theory of Interactive Learning (graduate-level course), Ben-Gurion University

Grader: Spring 22

[PAC learning, VC theory, Active learning]

  • Introduction to Computer Science, Ben-Gurion University

Teaching Assistant: Fall 20

  • Discrete Math, Tel Aviv University

Grader: Fall 16



>>> 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

Site visitors since April 1, 2022

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