Publications

2017
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Calibrated fairness in Bandits.” In Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017).
Rediet Abebe, Jon M. Kleinberg, and David C. Parkes. 2017. “Fair Division via Social Comparison.” In Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS’17), Pp. 281-289.
Hongyao Ma, David C. Parkes, and Valentin Robu. 2017. “Generalizing Demand Response Through Reward Bidding.” In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, Sebastien Lahaie, Jeffrey Shneidman, and David C. Parkes. 2017. “ICE: An Expressive Iterative Combinatorial Exchange.” In Handbook of Spectrum Auction Design, 39: Pp. 828-873. Cambidge University Press.
Christos Dimitrakakis, David C. Parkes, Goran Radanovic, and Paul Tylkin. 2017. “Multi-View Decision Processes: The Helper-AI Problem.” In Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), Pp. 5449-5458.
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Economic Design through Deep Learning.” In Proc. of the NIPS Workshop on "Learning in the Presence of Strategic Behavior." Long Beach, CA.
Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah. 2017. “Peer Prediction with Heterogeneous Users.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017).
David C. Parkes, Paul Tylkin, and Lirong Xia. 2017. “Thwarting Vote Buying Through Decoy Ballots.” In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017).
David Parkes, Paul Tylkin, and Lirong Xia. 2017. “Thwarting Vote Buying Through Decoy Ballots.” In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
2016
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Kevin Leyton-Brown, David C. Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller. 2016. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel.
Harikrishna Narasimhan, Shivani Agarwal, and David C. Parkes. 2016. “Automated Mechanism Design without Money via Machine Learning.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 433-439.
Debmalya Mandal and David C. Parkes. 2016. “Correlated Voting.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 366-372.
Harikrishna Narasimhan and David C. Parkes. 2016. “A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms.” In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16).
Hongyao Ma, Valentin Robu, N Ali, and David C. Parkes. 2016. “Incentivizing Reliability in Demand-Side Response.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 352-358.
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, and David Parkes. 2016. “Informed Truthfulness for Multi-Task Peer Prediction.” In Proc. of the HCOMP Workshop on Mathematical Foundations of Human Computation.
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, and David C. Parkes. 2016. “Informed Truthfulness in Multi-Task Peer Predictions.” In Proceedings of the 17th ACM Conf. on Economics and Computation (EC16), Pp. 179-196.
Panos Toulis and David C. Parkes. 2016. “Long-term causal effects via behavioral game theory.” In Annual Conference on Neural Information Processing Systems (NIPS).
Victor Shnayder, Rafael M. Frongillo, and David C. Parkes. 2016. “Measuring Performance Of Peer Prediction Mechanisms Using Replicator Dynamics.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 2611-2617.
Debmalya Mandal, Matthew Leifer, David C. Parkes, Galen Pickard, and Victor Shnayder. 2016. “Peer Prediction with Heterogeneous Tasks.” In Proc. of the NIPS Workshop on Crowdsourcing and Machine Learning.
Brandon K. Liu, David C. Parkes, and Sven Seuken. 2016. “Personalized Hitting Time for Informative Trust Mechanisms Despite Sybils.” In Proceedings of the 15th International Conference on Autonomous Agent & Multiagent Systems (AAMAS’16), Pp. 1124-1132.

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