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Yoav Kolumbus
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2020 – today
- 2024
- [c8]Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg:
Contracting with a Learning Agent. NeurIPS 2024 - [i13]Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg:
Contracting with a Learning Agent. CoRR abs/2401.16198 (2024) - [i12]Yoav Kolumbus, Joe Halpern, Éva Tardos:
Paying to Do Better: Games with Payments between Learning Agents. CoRR abs/2405.20880 (2024) - [i11]Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Raunak Kumar, Yishay Mansour, Éva Tardos:
Learning in Budgeted Auctions with Spacing Objectives. CoRR abs/2411.04843 (2024) - 2023
- [c7]Yoav Kolumbus, Menahem Levy, Noam Nisan:
Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling. NeurIPS 2023 - [i10]Yoav Kolumbus, Menahem Levy, Noam Nisan:
Asynchronous Proportional Response Dynamics in Markets with Adversarial Scheduling. CoRR abs/2307.04108 (2023) - [i9]Maria Alejandra Ramirez, Yoav Kolumbus, Rosemarie Nagel, David H. Wolpert, Jürgen Jost:
Game Manipulators - the Strategic Implications of Binding Contracts. CoRR abs/2311.10586 (2023) - 2022
- [c6]Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Reinforcement Learning Explainability via Model Transforms (Student Abstract). AAAI 2022: 12943-12944 - [c5]Mira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren:
Explainable Reinforcement Learning via Model Transforms. NeurIPS 2022 - [c4]Yoav Kolumbus, Noam Nisan:
How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents. NeurIPS 2022 - [c3]Moshe Babaioff, Yoav Kolumbus, Eyal Winter:
Optimal Collaterals in Multi-Enterprise Investment Networks. WWW 2022: 79-89 - [c2]Yoav Kolumbus, Noam Nisan:
Auctions between Regret-Minimizing Agents. WWW 2022: 100-111 - [i8]Mira Finkelstein, Lucy Liu, Nitsan Levy Schlot, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Explainable Reinforcement Learning via Model Transforms. CoRR abs/2209.12006 (2022) - 2021
- [i7]Yoav Kolumbus, Noam Nisan:
Auctions Between Regret-Minimizing Agents. CoRR abs/2110.11855 (2021) - [i6]Yoav Kolumbus, Noam Nisan:
How and Why to Manipulate Your Own Agent. CoRR abs/2112.07640 (2021) - 2020
- [i5]Yoav Kolumbus, Noam Nisan:
On the Effectiveness of Tracking and Testing in SEIR Models. CoRR abs/2007.06291 (2020) - [i4]Moshe Babaioff, Yoav Kolumbus, Eyal Winter:
Optimal Collaterals in Multi-Enterprise Investment Networks. CoRR abs/2011.06247 (2020)
2010 – 2019
- 2019
- [c1]Yoav Kolumbus, Gali Noti:
Neural Networks for Predicting Human Interactions in Repeated Games. IJCAI 2019: 392-399 - [i3]Yoav Kolumbus, Gali Noti:
Neural Networks for Predicting Human Interactions in Repeated Games. CoRR abs/1911.03233 (2019) - 2017
- [i2]Yoav Kolumbus, Sorin Solomon:
Phase Transition in the Maximal Influence Problem: When Do We Need Optimization? CoRR abs/1708.02142 (2017) - 2016
- [i1]Gali Noti, Effi Levi, Yoav Kolumbus, Amit Daniely:
Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making. CoRR abs/1611.10228 (2016)
Coauthor Index
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