Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making. - Gali Noti; Effi Levi; Yoav Kolumbus; Amit Daniely (CoRR, 2016)

Phase Transition in the Maximal Influence Problem: When Do We Need Optimization? - Yoav Kolumbus; Sorin Solomon (CoRR, 2017)

Neural Networks for Predicting Human Interactions in Repeated Games. - Yoav Kolumbus; Gali Noti (IJCAI, 2019)

On the Effectiveness of Tracking and Testing in SEIR Models. - Yoav Kolumbus; Noam Nisan (CoRR, 2020)

How and Why to Manipulate Your Own Agent. - Yoav Kolumbus; Noam Nisan (CoRR, 2021)

Reinforcement Learning Explainability via Model Transforms (Student Abstract). - Mira Finkelstein; Lucy Liu; Yoav Kolumbus; David C. Parkes; Jeffrey S. Rosenshein; Sarah Keren (AAAI, 2022)

Explainable Reinforcement Learning via Model Transforms. - Mira Finkelstein; Nitsan Levy Schlot; Lucy Liu; Yoav Kolumbus; David C. Parkes; Jeffrey S. Rosenschein; Sarah Keren (NeurIPS, 2022)

How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents. - Yoav Kolumbus; Noam Nisan (NeurIPS, 2022)

Optimal Collaterals in Multi-Enterprise Investment Networks. - Moshe Babaioff; Yoav Kolumbus; Eyal Winter (WWW, 2022)

Auctions between Regret-Minimizing Agents. - Yoav Kolumbus; Noam Nisan (WWW, 2022)

Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling. - Yoav Kolumbus; Menahem Levy; Noam Nisan (NeurIPS, 2023)

Asynchronous Proportional Response Dynamics in Markets with Adversarial Scheduling. - Yoav Kolumbus; Menahem Levy; Noam Nisan (CoRR, 2023)

Game Manipulators - the Strategic Implications of Binding Contracts. - Maria Alejandra Ramirez; Yoav Kolumbus; Rosemarie Nagel; David H. Wolpert; Jürgen Jost (CoRR, 2023)

Contracting with a Learning Agent. - Guru Guruganesh; Yoav Kolumbus; Jon Schneider; Inbal Talgam-Cohen; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Joshua R. Wang; S. Matthew Weinberg (NeurIPS, 2024)

Paying to Do Better: Games with Payments between Learning Agents. - Yoav Kolumbus; Joe Halpern; Éva Tardos (CoRR, 2024)

Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners. - David A. Easley; Yoav Kolumbus; Éva Tardos (EC, 2025)

Learning in Budgeted Auctions with Spacing Objectives. - Giannis Fikioris; Robert Kleinberg; Yoav Kolumbus; Raunak Kumar; Yishay Mansour; Éva Tardos (EC, 2025)

Learning in Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners. - David A. Easley; Yoav Kolumbus; Éva Tardos (CoRR, 2025)

Learning in Strategic Queuing Systems with Small Buffers. - Ariana Abel; Yoav Kolumbus; Jeronimo Martin Duque; Éva Tardos (CoRR, 2025)