Yoav Kolumbus
Cornell University
The Center for Data Science for Enterprise and Society, Computer Science, Economics
105E Gates Hall.
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I am an Assistant Research Professor of Computer Science and Economics at the Center for Data Science for Enterprise and Society at Cornell University, where I am fortunate to be mentored by David Easley, Éva Tardos, and Robert Kleinberg. Prior to joining Cornell, I completed my Ph.D. in Computer Science at the Hebrew University of Jerusalem, advised by Noam Nisan. Before my Ph.D. studies, I completed my B.Sc. and M.Sc. in Physics at the Hebrew University of Jerusalem under the supervision of Sorin Solomon, as well as a Bachelor's degree in music from the Jerusalem Academy of Music, where I studied classical and Jazz double bass with Michael Klinghoffer.
I am interested in topics at the interface of machine learning, algorithmic game theory, dynamical systems, and networks, with a focus on learning in games and interactions between learning and strategic play in multi-agent systems. My recent work studies how algorithmic learning agents impact markets, game dynamics, and user incentives in application domains such as online auctions, portfolio optimization, and contract design.
[CV] [Google Scholar]
Email: yoav.kolumbus@cornell.edu
Research:
Papers
Markets with Heterogeneous Agents: Dynamics and Survival
of Bayesian vs. No-Regret Learners (EC 2025) [PDF]
With David Easley and Éva Tardos
INFORMS 2025 Award Session for Selected Auctions & Market Design Papers from EC 2025
Recording: EC 2025 (20 minutes)
Learning in Budgeted Auctions with Spacing Objectives (EC 2025) [PDF]
With Giannis Fikioris, Robert Kleinberg, Raunak Kumar, Yishay Mansour, and Éva Tardos
Learning in Strategic Queuing Systems with Small Buffers (2025) [PDF]
With Éva Tardos, Ariana Abel, and Jeronimo Martın Duque
Games with Payments between Learning Agents (2025) [PDF]
With Éva Tardos and Joe Halpern
Contracting with a Learning Agent (NeurIPS 2024) [PDF]
With Inbal Talgam-Cohen, Matt Weinberg, Guru Guruganesh, Manolis Vlatakis, Joshua Wang, and Jon Schneider
Recording: NeurIPS 2024 (5 minutes)
Asynchronous Proportional Response Dynamics:
Convergence in Markets with Adversarial Scheduling (NeurIPS 2023) [PDF]
With Menahem Levy and Noam Nisan
Game Manipulators: the Strategic Implications of Binding Contracts (2023) [PDF]
With Maria Alejandra Ramirez, Rosemarie Nagel, David Wolpert, Jürgen Jost
Auctions between Regret-Minimizing Agents (WWW 2022) [PDF]
With Noam Nisan
Spotlight Beyond WINE'22 special session.
Recordings: WWW '22 talk (15 minutes), AGT - Past Present & Future (30 minutes)
How and Why to Manipulate Your Own Agent (NeurIPS 2022) [PDF]
With Noam Nisan
Invited to the Spotlight Beyond WINE '22 special session.
Recording: INFORMS 2024 (12 minutes)
Reinforcement Learning Explanation via Model Transforms (NeurIPS 2022) [PDF]
With Mira Finkelstein, Nitsan S. Levy, Lucy Liu, David C. Parkes, Jeffrey S. Rosenschein, and Sarah Keren
Optimal Collaterals in Multi-Enterprise Investment Networks (WWW 2022) [PDF]
With Moshe Babaioff and Eyal Winter
Recording: WWW '22 talk (15 minutes)
On the Effectiveness of Tracking and Testing in SEIR Models for Health vs. Economy Trade-Offs (Scientific Reports 2021) [PDF]
With Noam Nisan
On the Influence Maximization Problem and the Percolation Phase Transition (Physica A 2021) [PDF]
With Sorin Solomon
Neural Networks for Predicting Human Interactions in Repeated Games (IJCAI 2019) [PDF]
With Gali Noti
Crystallographic Orientation Errors in Mechanical Exfoliation (Condensed Matter 2018) [PDF]
With Ayelet Zalic, Natalie F. Melamed, Zahava Barkay, Dvir Rotem, Danny Porath, and Hadar Steinberg
Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making (2016) [PDF]
With Gali Noti, Effi Levi and Amit Daniely
Recent Talks
Forthcoming: invited talk at the Young Researchers Workshop at Cornell university
Forthcoming: invited talk at INFORMS 2025 Annual Meeting -- Manufacturing and Service Operations Management (MSOM) session
Forthcoming: invited talk at INFORMS 2025 Annual Meeting -- Award Session for Selected Auctions & Market Design Papers from EC 2025
EC 2025, Stanford: Markets with Heterogeneous Agents: Dynamics and Survival f Bayesian vs. No-Regret Learners [Recording]
Invited talk, EC 2025 Workshop on Swap Regret and Strategic Learning
Invited talk, USC Mathematical Finance Colloquium [Talk details]
Harvard EconCS seminar [Talk details]
NeurIPS 2024: Contracting with a Learning Agent [Recording]
Invited Tutorial on Strategic Play with Learning Agents, with Jon Schneider, in EC 2024, [Webpage], [Recording]
Stony Brook International Conference on Game Theory: Auctions between Regret Minimizing Agents
2024 ESIF Economics and AI+ML Meeting, at Cornell University
Invited talk, INFORMS 2024 Annual Meeting: Auctions between Regret Minimizing Agents [Recording]
Music:
I am also a professionally trained musician in classical and Jazz Double bass performance. Check Spotify to listen to an album of my compositions, or check out the links on the right.
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