Mechanism Design

2018
Paul Duetting, Felix A. Fischer, and David C. Parkes. 2018. “Expressiveness and Robustness of First-Price Position Auctions.” Mathematics of Operations Research . Download
Goran Radanovic, Adish Singla, Andreas Krause, and Boi Faltings. 2018. “Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18). Download
Goran Radanovic and Boi Faltings. 2018. “Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18). Download
Hongyao Ma, Reshef Meir, and David C. Parkes. 2018. “Social Choice with Non Quasi-linear Utilities.” arXiv preprint arXiv:1804.02268. Download
Hongyao Ma, Fei Fang, and David C. Parkes. 2018. “Spatio-Temporal Pricing for Ridesharing Platforms.” arXiv preprint arXiv:1801.04015. Download
Yiling Chen, Chara Podimata, Ariel D. Procaccia, and Nisarg Shah. 2018. “Strategyproof Linear Regression in High Dimensions.” In Proceedings of the 19th ACM Conference on Economics and Computation (EC'18). Download
2017
Reshef Meir, Hongyao Ma, and Valentin Robu. 2017. “Contract Design for Energy Demand Response.” In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17. Download
Boi Faltings and Goran Radanovic. 2017. Game Theory for Data Science: Eliciting Truthful Information. Morgan & Claypool Publishers.
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). Download
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). Download
Yang Liu and Yiling Chen. 2017. “Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices.” In Proc. of The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) . Download
2016
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. Download
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2016. “Contingent Payment Mechanisms to Maximize Resource Utilization.” arXiv preprint arXiv:1607.06511. 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, 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

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