Yoav Kolumbus

According to our database, Yoav Kolumbus authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning in Budgeted Auctions with Spacing Objectives.

Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Raunak Kumar, Yishay Mansour, Éva Tardos

CoRR, 2024

Paying to Do Better: Games with Payments between Learning Agents.

Yoav Kolumbus, Joe Halpern, Éva Tardos

CoRR, 2024

Contracting with a Learning Agent.

Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Game Manipulators - the Strategic Implications of Binding Contracts.

Maria Alejandra Ramirez, Yoav Kolumbus, Rosemarie Nagel, David H. Wolpert, Jürgen Jost

CoRR, 2023

Asynchronous Proportional Response Dynamics in Markets with Adversarial Scheduling.

Yoav Kolumbus, Menahem Levy, Noam Nisan

CoRR, 2023

Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling.

Yoav Kolumbus, Menahem Levy, Noam Nisan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Auctions between Regret-Minimizing Agents.

Yoav Kolumbus, Noam Nisan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Optimal Collaterals in Multi-Enterprise Investment Networks.

Moshe Babaioff, Yoav Kolumbus, Eyal Winter

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents.

Yoav Kolumbus, Noam Nisan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explainable Reinforcement Learning via Model Transforms.

Mira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning Explainability via Model Transforms (Student Abstract).

Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

How and Why to Manipulate Your Own Agent.

Yoav Kolumbus, Noam Nisan

CoRR, 2021

2020

On the Effectiveness of Tracking and Testing in SEIR Models.

Yoav Kolumbus, Noam Nisan

CoRR, 2020

2019

Neural Networks for Predicting Human Interactions in Repeated Games.

Yoav Kolumbus, Gali Noti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

Phase Transition in the Maximal Influence Problem: When Do We Need Optimization?

Yoav Kolumbus, Sorin Solomon

CoRR, 2017

2016

Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making.

Gali Noti, Effi Levi, Yoav Kolumbus, Amit Daniely

CoRR, 2016