Omer Ben-Porat

Orcid: 0000-0002-2716-086X

According to our database1, Omer Ben-Porat authored at least 29 papers between 2016 and 2024.

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Bibliography

2024
Braess's Paradox of Generative AI.
CoRR, 2024

Aegis: A Decentralized Expansion Blockchain.
CoRR, 2024

Personalized Reinforcement Learning with a Budget of Policies.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Principal-Agent Reward Shaping in MDPs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning with Exposure Constraints in Recommendation Systems.
Proceedings of the ACM Web Conference 2023, 2023

Frustratingly Easy Truth Discovery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modeling Attrition in Recommender Systems with Departing Bandits.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Corporate Social Responsibility via Multi-Armed Bandits.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Protecting the Protected Group: Circumventing Harmful Fairness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Predicting Strategic Behavior from Free Text.
J. Artif. Intell. Res., 2020

Learning under Invariable Bayesian Safety.
CoRR, 2020

Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Content Provider Dynamics and Coordination in Recommendation Ecosystems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Predicting Strategic Behavior from Free Text (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

Fiduciary Bandits.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Multiunit Facility Location Games.
Math. Oper. Res., 2019

Truth Discovery via Proxy Voting.
CoRR, 2019

Regression Equilibrium.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Convergence of Learning Dynamics in Information Retrieval Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

From Recommendation Systems to Facility Location Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Efficient Crowdsourcing via Proxy Voting.
CoRR, 2018

A Game Theoretic Approach to Learning and Dynamics in Information Retrieval.
CoRR, 2018

Competing Prediction Algorithms.
CoRR, 2018

A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Shapley Facility Location Games.
Proceedings of the Web and Internet Economics - 13th International Conference, 2017

Best Response Regression.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
The (l, k) Facility Location Duel.
CoRR, 2016

Multi-unit Facility Location Games.
Proceedings of the Web and Internet Economics - 12th International Conference, 2016


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