Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott D. Kominers, and David C. Parkes. Working Paper. “Deep Learning for Two-Sided Matching.” CoRR abs/2107.03427 (2021).

Barton E. Lee, Daniel J. Moroz, and David C. Parkes. Working Paper. “An Analysis of Blockchain Governance via Political Economics.” 2021.

Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, and Mitchell Stern. 2021. “Dynamic posted-price mechanisms for the blockchain transaction-fee market.” In AFT 2021, Pp. 86-99.

David C. Parkes and Francesca Dominici. 2021. “Introducing the Interim Co-Editors-in-Chief.” PubPub.

Mark York, Munther Dahleh, and David C. Parkes. 2021. “Eliciting Social Knowledge for Creditworthiness Assessment.” In Proc. 17th Conference on Web and Internet Economics , Pp. 428-445.

Vincent Conitzer, Zhe Feng, David C. Parkes, and Eric Sodomka. 2021. “Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss.” In , Pp. 76-94. Proceedings 17th Conference on Web and Internet Economics (WINE).

Gianluca Brero, Darshan Chakrabarti, Alon Eden, Matthias Gerstgrasser, Vincent Li, and David C. Parkes. 2021. “Learning Stackelberg Equilibria in Sequential Price Mechanisms.” In . Proc. ICML Workshop for Reinforcement Learning Theory.

Paul Tylkin, Goran Radanovic, and David C. Parkes. 2021. “Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments.” In Proc. 20th Int. Conf. on Auton. Agents and Multiagent Systems (AAMAS), Pp. 1686-1688 .

Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, and David C. Parkes. 2021. “Learning Representations by Humans.” In ICML 2021, Pp. 4227-4238.

David Parkes. 2021. “Playing with symmetry with neural networks.” Nature Machine Intelligence , 3, 8, Pp. 658-658.

Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, and Max Kleiman-Weiner. 2021. “Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration.” Topics Cognitive Science , 13, 2, Pp. 2032-2034.

Paul Duetting, Zhe Feng, Hari Narasimhan, David C. Parkes, and Sai Srivatsa Ravindranath. 2021. “Optimal auctions through deep learning.” Communications of the ACM, 64, 8, Pp. 109-116.

Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, and Duncan Rheingans-Yoo. 2021. “Reinforcement Learning of Simple Indirect Mechanisms.” In The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Pp. 5219-5227.