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Journal Articles
- 2020
[j2]Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. J. Artif. Intell. Res. 68: 413-445 (2020)- 2019
- [j1]Omer Ben-Porat
, Moshe Tennenholtz:
Multiunit Facility Location Games. Math. Oper. Res. 44(3): 865-889 (2019)
Conference and Workshop Papers
- 2024
- [c19]Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. AAAI 2024: 9502-9510 - [c18]Dmitry Ivanov, Omer Ben-Porat:
Personalized Reinforcement Learning with a Budget of Policies. AAAI 2024: 12735-12743 - 2023
- [c17]Reshef Meir, Ofra Amir, Omer Ben-Porat, Tsviel Ben Shabat, Gal Cohensius, Lirong Xia:
Frustratingly Easy Truth Discovery. AAAI 2023: 6074-6083 - [c16]Omer Ben-Porat, Rotem Torkan:
Learning with Exposure Constraints in Recommendation Systems. WWW 2023: 3456-3466 - 2022
- [c15]Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour:
Modeling Attrition in Recommender Systems with Departing Bandits. AAAI 2022: 6072-6079 - 2021
- [c14]Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz:
Protecting the Protected Group: Circumventing Harmful Fairness. AAAI 2021: 5176-5184 - [c13]Tom Ron, Omer Ben-Porat, Uri Shalit:
Corporate Social Responsibility via Multi-Armed Bandits. FAccT 2021: 26-40 - 2020
- [c12]Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Fiduciary Bandits. ICML 2020: 518-527 - [c11]Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier:
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. ICML 2020: 6987-6998 - [c10]Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text (Extended Abstract). IJCAI 2020: 5020-5024 - [c9]Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Content Provider Dynamics and Coordination in Recommendation Ecosystems. NeurIPS 2020 - [c8]Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses. WWW (Companion Volume) 2020: 552-556 - 2019
- [c7]Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. AAAI 2019: 1772-1779 - [c6]Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Convergence of Learning Dynamics in Information Retrieval Games. AAAI 2019: 1780-1787 - [c5]Omer Ben-Porat, Moshe Tennenholtz:
Regression Equilibrium. EC 2019: 173-191 - 2018
- [c4]Omer Ben-Porat, Moshe Tennenholtz:
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. NeurIPS 2018: 1118-1128 - 2017
- [c3]Omer Ben-Porat, Moshe Tennenholtz:
Best Response Regression. NIPS 2017: 1499-1508 - [c2]Omer Ben-Porat, Moshe Tennenholtz:
Shapley Facility Location Games. WINE 2017: 58-73 - 2016
- [c1]Omer Ben-Porat, Moshe Tennenholtz:
Multi-unit Facility Location Games. WINE 2016: 478-479
Informal and Other Publications
- 2024
- [i21]Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. CoRR abs/2401.00298 (2024) - [i20]Dmitry Ivanov, Omer Ben-Porat:
Personalized Reinforcement Learning with a Budget of Policies. CoRR abs/2401.06514 (2024) - [i19]Yogev Bar-On, Roi Bar Zur, Omer Ben-Porat, Nimrod Cohen, Ittay Eyal, Matan Sitbon:
Aegis: A Decentralized Expansion Blockchain. CoRR abs/2406.05904 (2024) - [i18]Boaz Taitler, Omer Ben-Porat:
Braess's Paradox of Generative AI. CoRR abs/2409.05506 (2024) - 2023
- [i17]Omer Ben-Porat, Rotem Torkan:
Learning with Exposure Constraints in Recommendation Systems. CoRR abs/2302.01377 (2023) - 2022
- [i16]Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour:
Modeling Attrition in Recommender Systems with Departing Bandits. CoRR abs/2203.13423 (2022) - 2020
- [i15]Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. CoRR abs/2004.02973 (2020) - [i14]Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Learning under Invariable Bayesian Safety. CoRR abs/2006.04497 (2020) - [i13]Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier:
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. CoRR abs/2008.00104 (2020) - 2019
- [i12]Reshef Meir, Ofra Amir, Gal Cohensius, Omer Ben-Porat, Lirong Xia:
Truth Discovery via Proxy Voting. CoRR abs/1905.00629 (2019) - [i11]Omer Ben-Porat, Moshe Tennenholtz:
Regression Equilibrium. CoRR abs/1905.02576 (2019) - [i10]Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Fiduciary Bandits. CoRR abs/1905.07043 (2019) - [i9]Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz:
Protecting the Protected Group: Circumventing Harmful Fairness. CoRR abs/1905.10546 (2019) - [i8]Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, altruism, and experience: Estimating the perceived value of Internet data for medical uses. CoRR abs/1906.08562 (2019) - 2018
- [i7]Omer Ben-Porat, Moshe Tennenholtz:
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. CoRR abs/1806.00955 (2018) - [i6]Omer Ben-Porat, Moshe Tennenholtz:
Competing Prediction Algorithms. CoRR abs/1806.01703 (2018) - [i5]Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
A Game Theoretic Approach to Learning and Dynamics in Information Retrieval. CoRR abs/1806.05359 (2018) - [i4]Gal Cohensius, Omer Ben-Porat, Reshef Meir, Ofra Amir:
Efficient Crowdsourcing via Proxy Voting. CoRR abs/1806.06257 (2018) - [i3]Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. CoRR abs/1809.02931 (2018) - 2017
- [i2]Omer Ben-Porat, Moshe Tennenholtz:
Shapley Facility Location Games. CoRR abs/1709.10278 (2017) - 2016
- [i1]Omer Ben-Porat, Moshe Tennenholtz:
The (l, k) Facility Location Duel. CoRR abs/1602.03655 (2016)
Coauthor Index
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