2020
Nir Rosenfeld, Anna Hilgard, Sai S. Ravindranath, and David C. Parkes. 2020. “
From predictions to decisions: Using lookahead regularization.” In In Annual Conference on Neural Information Processing Systems, NeurIPS ’20.
Publisher's Version Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. 2020. “
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations.” Artificial Intelligence, 283, 103238.
Publisher's Version Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, and Richard Socher. 2020. “
Improving Equality and Productivity with AI-Driven Tax Policies.” CoRR abs/2004.13332.
Publisher's Version Malvika Rao, David F. Bacon, David C. Parkes, and Margo Seltzer. 2020. “
Incentivizing Deep Fixes in Software Economies.” IEEE Transactions on Software Engineering, 46, 1, Pp. 51-70.
Publisher's Version Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, and Barbara Grosz. 2020. “
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents.” In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI-2020).
Publisher's Version Zhe Feng, David C. Parkes, and Haifeng Xu. 2020. “
The intrinsic robustness of stochastic bandits to strategic manipulation.” In Proceedings of the 37th International Conference on Machine Learning, ICML ’20, 119: Pp. 3092-3101. Proceedings of Machine Learning Research.
Publisher's Version Nir Rosenfeld, Aron Szanto, and David C. Parkes. 2020. “
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone.” In Proceedings of the 29th World Wide Web Conference (WWW 2020), Pp. 1018-1028.
Publisher's Version Paul Tylkin, Goran Radanovic, and David C. Parkes. 2020. “
Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments.” In NeurIPS 2020 workshop on Cooperative AI.
Publisher's Version Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, and Sai S. Ravindranath. 2020. “
Optimal auctions through deep learning.” Communications of the ACM, 63, 12.
Publisher's Version Hongyao Ma, Reshef Meir, David C. Parkes, and Elena Wu-Yan. 2020. “
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.
Publisher's Version Hau Chan, David C. Parkes, and Karim R. Lakhani. 2020. “
The Price of Anarchy of Self-Selection in Tullock Contests (Extended Abstract).” In , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Pp. 1795-1797.
Publisher's Version Sarah Keren, Sara Bernardini, Kofi Kwapong, and David C. Parkes. 2020. “
Reasoning about plan robustness versus plan cost for partially informed agents.” In Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, Pp. 550–559.
Publisher's Version Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, and Duncan Rheingans-Yoo. 2020. “
Reinforcement learning of simple indirect mechanisms.” In NeurIPS’20 Workshop on Machine learning for Economic Policy.
Publisher's Version Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, and Max Kleiman-Weiner. 2020. “
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning (Extended Abstract).” In Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Pp. 2032-2034.
Publisher's Version Haris Aziz, Hau Chan, Barton E. Lee, and David C. Parkes. 2020. “
The capacity constrained facility location problem.” Games Econ. Behavior, 124:478–490, Pp. 478-490.
Publisher's Version Michael Neuder, Daniel J. Moroz, Rithvik Rao, and David C. Parkes. 2020. “
Defending against malicious reorgs in tezos proof-of-stake.” In AFT ’20: 2nd ACM Conference on Advances in Financial Technologies (ACM ’20), Pp. 46–58.
Publisher's Version Daniel J. Moroz, Daniel J. Aronoff, Neha Narula, and David C. Parkes. 2020. “
Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems.” CoRR abs/2002.10736.
Publisher's Version Debmalya Mandal, Goran Radanovic, and David C. Parkes. 2020. “
The Effectiveness of Peer Prediction in Long-Term Forecasting.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020).
Publisher's Version 
