- Toygar T. Kerman, Anastas P. Tenev and Konstantin Zabarnyi. “Persuasion Gains and Losses from Peer Communication”. Working Paper. Presented at EC’25 as a poster. [Poster]
- Dirk Bergemann, Yang Cai, Jinzhao Wu and Konstantin Zabarnyi. “The Near-Optimality of Two-Part Tariffs for Nonlinear Pricing”. To Appear in the Proceedings of the 27th ACM Conference on Economics & Computation (EC), 2026.
- 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”. Games and Economic Behavior; and 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”. American Economic Journal: Microeconomics. 2025 Feb 1;17(1):66-96; and Proceedings of the 24th ACM Conference on Economics & Computation (EC), 2023. [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. [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. [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