Matheus V. X. Ferreira and David C. Parkes. 2023. “
Credible Decentralized Exchange Design via Verifiable Sequencing Rules.” In Proceedings of the 55th Annual ACM Symposium on Theory of Computing (STOC 2023), Pp. 723-736 .
Tonghan Wang, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, and David C. Parkes. 2023. “
Deep Contract Design via Discontinuous Networks.” In Proceedings of the NeurIPS 2023 (Thirty-seventh Conference on Neural Information Processing Systems).
Yaniv Yacoby, John Girash, and David C. Parkes. 2023. “
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health.” In Proc. of the The Technical Symposium on Computer Science Education , 1: Pp. 694-700 .
Paul Duetting, Felix A. Fischer, and David C. Parkes. 2023. “
Non-Truthful Position Auctions Are More Robust to Misspecification.” Mathematics of Operations Research.
Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, and David C. Parkes. 2023. “
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study.” In Proc. of the International World Wide Web Conference (WWW '23), Pp. 3592-3602 .
Jamelle Watson-Daniels, David C. Parkes, and Berk Ustun. 2023. “
Predictive Multiplicity in Probabilistic Classification.” In Proc. of Association for the Advancement of Artificial Intelligence, Pp. 10306 - 10314. AAAI.
Zhun Deng, He Sun, Steven Wu, Linjun Zhang, and David C. Parkes. 2023. “
Reinforcement Learning with Stepwise Fairness Constraints.” In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , Pp. 10594-10618 .