Parkes, David C.

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. Download

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). Download

Hongyao Ma, Valentin Robu, Na Li, 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. Download

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. Download

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. Download

Panos Toulis and David C. Parkes. 2016. “Long-term causal effects via behavioral game theory.” In Annual Conference on Neural Information Processing Systems (NIPS). Download

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. Download

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. Download

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. Download

Victor Shnayder and David C. Parkes. 2016. “Practical Peer Prediction for Peer Assessment.” In Proc. of the 4th AAAI Conference on Human Computation and Crowdsourcing, (HCOMP). Download

Hongyao Ma, Reshef Meir, and David C. Parkes. 2016. “Social Choice for Agents with General Utilities.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), Pp. 345-351. Download

Paul Duetting, Felix Fischer, and David C. Parkes. 2016. “Truthful Outcomes from Non-Truthful Position Auctions.” In Proceedings of the 17th ACM Conf. on Economics and Computation (EC16), Pp. 813. Download

Reshef Meir and David C. Parkes. 2016. “When are Marginal Congestion Tolls Optimal?” In Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) 2016. Download

Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 8/2015. “Are you Going to Do That? Contingent-Payment Mechanisms to Improve Coordination.” In Proceedings of the 3rd Conference on Auctions, Market Mechanisms and Their Applications (AMMA'15). ACM. Download

David C. Parkes, Christopher Thorpe, and Wei Li. 2015. “Achieving Trust without Disclosure: Dark Pools and a Role for Secrecy-Preserving Verification.” In Proceedings of the Third Conference on Auctions, Market Mechanisms and Their Applications (AMMA'15). Download

Reshef Meir and David C. Parkes. 2015. “Congestion Games with Distance-Based Strict Uncertainty.” In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Pp. 986-992. Download

Panos Toulis and David C. Parkes. 2015. “Design and Analysis of Multi-Hospital Kidney Exchange Mechanisms Using Random Graphs.” Games and Economic Behavior, 91, Pp. 360-382. Download

David C. Parkes and Michael P. Wellman. 2015. “Economic Reasoning and Artificial Intelligence.” Science, 349, 6245, Pp. 267-272. Download

Panos Toulis, David C. Parkes, Elery Pfeffer, and James Zou. 2015. “Incentive-Compatible Experimental Design.” Proceedings of the 16th ACM Conference on Economics and Computation (EC '15), Pp. 285-302. Download

Harikrishna Narasimhan, David C. Parkes, and Yaron Singer. 2015. “Learnability of Influence in Networks.” In Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), Pp. 3186-3194. Download