- Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu and Konstantin Zabarnyi. “Algorithmic Cheap Talk”. Proceedings of The 25th ACM Conference on Economics & Computation (EC), 2024. [arXiv] [Slides]
- Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu and Konstantin Zabarnyi. “Information Design in the Principal-Agent Problem”. Proceedings of The 25th ACM Conference on Economics & Computation (EC), 2024. [arXiv] [Slides]
- Itai Arieli, Yakov Babichenko, Inbal Talgam-Cohen and Konstantin Zabarnyi. “A Random Dictator Is All You Need” / “Universally Robust Information Aggregation for Binary Decisions”. Proceedings of The 24th ACM Conference on Economics & Computation (EC), 2023 (extended abstract); Accepted to American Economic Journal: Microeconomics. [arXiv] [Poster] [Slides]
- Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu and Konstantin Zabarnyi. “Multi-Channel Bayesian Persuasion”. Proceedings of The 13th Innovations in Theoretical Computer Science Conference (ITCS), 2022 (extended abstract). [arXiv] [Poster] [Full slides] [Shortened slides]
- Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu and Konstantin Zabarnyi. “Regret-Minimizing Bayesian Persuasion”. Games and Economic Behavior. 2022 Nov 1;136:226-48; and Proceedings of The 22nd ACM Conference on Economics & Computation (EC), 2021 (extended abstract). [arXiv] [Poster] [Slides]
- Yakov Babichenko, Inbal Talgam-Cohen and Konstantin Zabarnyi. “Bayesian Persuasion under Ex Ante and Ex Post Constraints”. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. [arXiv] [Poster] [Slides]
Konstantin Zabarnyi
The Henry and Marilyn Taub Faculty of Computer Science