Publications

• Toygar T. Kerman, Anastas P. Tenev and Konstantin Zabarnyi. “Persuasion Gains and Losses from Peer Communication”. Working paper.
• Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu and Konstantin Zabarnyi. “Algorithmic Cheap Talk”. Proceedings of the 25th ACM Conference on Economics & Computation (EC), 2024 (extended abstract); submitted to the Journal of the ACM. [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 (extended abstract); submitted to Games and Economic Behavior. [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”. American Economic Journal: Microeconomics. 2025 Feb 1;17(1):66-96; and Proceedings of the 24th ACM Conference on Economics & Computation (EC), 2023 (extended abstract). [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]