Multi-unit Facility Location Games. - Omer Ben-Porat; Moshe Tennenholtz (WINE, 2016)

The (l, k) Facility Location Duel. - Omer Ben-Porat; Moshe Tennenholtz (CoRR, 2016)

Best Response Regression. - Omer Ben-Porat; Moshe Tennenholtz (NIPS, 2017)

Shapley Facility Location Games. - Omer Ben-Porat; Moshe Tennenholtz (WINE, 2017)

A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. - Omer Ben-Porat; Moshe Tennenholtz (NeurIPS, 2018)

Competing Prediction Algorithms. - Omer Ben-Porat; Moshe Tennenholtz (CoRR, 2018)

A Game Theoretic Approach to Learning and Dynamics in Information Retrieval. - Omer Ben-Porat; Itay Rosenberg; Moshe Tennenholtz (CoRR, 2018)

Efficient Crowdsourcing via Proxy Voting. - Gal Cohensius; Omer Ben-Porat; Reshef Meir; Ofra Amir (CoRR, 2018)

From Recommendation Systems to Facility Location Games. - Omer Ben-Porat; Gregory Goren; Itay Rosenberg; Moshe Tennenholtz (AAAI, 2019)

Convergence of Learning Dynamics in Information Retrieval Games. - Omer Ben-Porat; Itay Rosenberg; Moshe Tennenholtz (AAAI, 2019)

Regression Equilibrium. - Omer Ben-Porat; Moshe Tennenholtz (EC, 2019)

Truth Discovery via Proxy Voting. - Reshef Meir; Ofra Amir; Gal Cohensius; Omer Ben-Porat; Lirong Xia (CoRR, 2019)

Multiunit Facility Location Games. - Omer Ben-Porat; Moshe Tennenholtz (Math. Oper. Res., 2019)

Fiduciary Bandits. - Gal Bahar; Omer Ben-Porat; Kevin Leyton-Brown; Moshe Tennenholtz (ICML, 2020)

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. - Martin Mladenov; Elliot Creager; Omer Ben-Porat; Kevin Swersky; Richard S. Zemel; Craig Boutilier (ICML, 2020)

Predicting Strategic Behavior from Free Text (Extended Abstract). - Omer Ben-Porat; Lital Kuchy; Sharon Hirsch; Guy Elad; Roi Reichart; Moshe Tennenholtz (IJCAI, 2020)

Content Provider Dynamics and Coordination in Recommendation Ecosystems. - Omer Ben-Porat; Itay Rosenberg; Moshe Tennenholtz (NeurIPS, 2020)

Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses. - Gilie Gefen; Omer Ben-Porat; Moshe Tennenholtz; Elad Yom-Tov (WWW (Companion Volume), 2020)

Learning under Invariable Bayesian Safety. - Gal Bahar; Omer Ben-Porat; Kevin Leyton-Brown; Moshe Tennenholtz (CoRR, 2020)

Predicting Strategic Behavior from Free Text. - Omer Ben-Porat; Sharon Hirsch; Lital Kuchy; Guy Elad; Roi Reichart; Moshe Tennenholtz (J. Artif. Intell. Res., 2020)

Protecting the Protected Group: Circumventing Harmful Fairness. - Omer Ben-Porat; Fedor Sandomirskiy; Moshe Tennenholtz (AAAI, 2021)

Corporate Social Responsibility via Multi-Armed Bandits. - Tom Ron; Omer Ben-Porat; Uri Shalit (FAccT, 2021)

Modeling Attrition in Recommender Systems with Departing Bandits. - Omer Ben-Porat; Lee Cohen 001; Liu Leqi; Zachary C. Lipton; Yishay Mansour (AAAI, 2022)

Frustratingly Easy Truth Discovery. - Reshef Meir; Ofra Amir; Omer Ben-Porat; Tsviel Ben Shabat; Gal Cohensius; Lirong Xia (AAAI, 2023)

Learning with Exposure Constraints in Recommendation Systems. - Omer Ben-Porat; Rotem Torkan (WWW, 2023)

Principal-Agent Reward Shaping in MDPs. - Omer Ben-Porat; Yishay Mansour; Michal Moshkovitz; Boaz Taitler (AAAI, 2024)

Personalized Reinforcement Learning with a Budget of Policies. - Dmitry Ivanov; Omer Ben-Porat (AAAI, 2024)

Aegis: A Decentralized Expansion Blockchain. - Yogev Bar-On; Roi Bar Zur; Omer Ben-Porat; Nimrod Cohen; Ittay Eyal; Matan Sitbon (CoRR, 2024)

Braess's Paradox of Generative AI. - Boaz Taitler; Omer Ben-Porat (AAAI, 2025)

Near-Linear MIR Algorithms for Stochastically-Ordered Priors. - Gal Bahar; Omer Ben-Porat; Kevin Leyton-Brown; Moshe Tennenholtz (SAGT, 2025)

Selective Response Strategies for GenAI. - Boaz Taitler; Omer Ben-Porat (CoRR, 2025)

Efficient Individually Rational Recommender System under Stochastic Order. - Gal Bahar; Omer Ben-Porat; Kevin Leyton-Brown; Moshe Tennenholtz (CoRR, 2025)

Envious Explore and Exploit. - Omer Ben-Porat; Yotam Gafni; Or Markovetzki (CoRR, 2025)

Modeling Churn in Recommender Systems with Aggregated Preferences. - Gur Keinan; Omer Ben-Porat (CoRR, 2025)

SySLLM: Generating Synthesized Policy Summaries for Reinforcement Learning Agents Using Large Language Models. - Sahar Admoni; Omer Ben-Porat; Ofra Amir (CoRR, 2025)

Data Sharing with a Generative AI Competitor. - Boaz Taitler; Omer Madmon; Moshe Tennenholtz; Omer Ben-Porat (CoRR, 2025)

Strategic Content Creation in the Age of GenAI: To Share or Not to Share? - Gur Keinan; Omer Ben-Porat (CoRR, 2025)

Churn-Aware Recommendation Planning under Aggregated Preference Feedback. - Gur Keinan; Omer Ben-Porat (CoRR, 2025)