Generative Adversarial Equilibrium Solvers.” CoRR abs/2302.06607 (2023) .
. Working Paper. “Economics
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces.” CoRR abs/2306.10606 (2023).
. Working Paper. “
Deep Learning for Two-Sided Matching.” CoRR abs/2107.03427 (2021).
. Working Paper. “
Deep Contract Design via Discontinuous Networks.” In Proceedings of the NeurIPS 2023 (Thirty-seventh Conference on Neural Information Processing Systems).
. 2023. “
Non-Truthful Position Auctions Are More Robust to Misspecification.” Mathematics of Operations Research.
. 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 .
. 2023. “
Machine Learning for Matching Markets.” In Online matching theory and market design. N. Immorlica, F. Echenique, and V. Vazirani (eds), Cambridge University Press.
. 2022. “
Spatio-temporal pricing for ridesharing platforms.” Operations Research , 70, 2, Pp. 1025-1041.
. 2022. “
Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss.” In , Pp. 76-94. Proceedings 17th Conference on Web and Internet Economics (WINE).
. 2021. “
Optimal auctions through deep learning.” Communications of the ACM, 64, 8, Pp. 109-116.
. 2021. “
Reinforcement Learning of Simple Indirect Mechanisms.” In The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Pp. 5219-5227.
. 2021. “
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias.” In , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Pp. 807-815.
. 2020. “
Optimal auctions through deep learning.” Communications of the ACM, 63, 12.
. 2020. “
Reinforcement learning of simple indirect mechanisms.” In NeurIPS’20 Workshop on Machine learning for Economic Policy.
. 2020. “