2020

2020
Ben Green and Salome Viljoen. 2020. “Algorithmic realism: expanding the boundaries of algorithmic thought.” In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT* ’20), Pp. 19-31. Association for Computing Machinery. Download
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. Download
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. Download
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 . Download
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) . Download
Ben Green. 2020. “The false promise of risk assessments: epistemic reform and the limits of fairness.” In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT* ’20), Pp. 594-606. Association for Computing Machinery. Download
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. Download
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 . Download
Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, Yang Liu, and David C. Parkes. 2020. “How do fairness definitions fare? testing public attitudes towards three algorithmic definitions of fairness in loan allocations.” Artificial Intelligence, 283, 103238. Download
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 . Download
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). Download
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. Download
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. Download
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. Download
Yiling Chen, Yang Liu, and Chara Podimata. 2020. “Learning Strategy-Aware Linear Classifiers.” In In Proceedings of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020). Download
Rupert Freeman, David M. Pennock, Chara Podimata, and Jennifer Wortman Vaughan. 2020. “No-Regret and Incentive-Compatible Online Learning.” In Proceedings of the Thirty-Seventh International Conference on Machine Learning (ICML2020). Download
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. Download
Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah. 2020. “Peer Prediction with Heterogeneous Users.” ACM Transactions on Economics and Computation, 8, 1, Pp. 2:1-2:34 . Download
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. Download
Ben Berger, Alon Eden, and Michal Feldman. 2020. “On the Power and Limits of Dynamic Pricing in Combinatorial Markets.” In The 16th Conference on Web and Internet Economics, WINE'20. Download

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