Publications

2016
Debmalya Mandal and David C. Parkes. 2016. “Correlated Voting.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 366-372. Download
Edith Law, Ming Yin, Joslin Goh, Kevin Chen, Michael Terry, and Krzysztof Z. Gajos. 2016. “Curiosity Killed the Cat, but Makes Crowdwork Better.” In Proceedings of the 34th ACM Conference on Human Factors in Computing Systems (CHI '16), 4098-4110. Download
Chien-Ju Ho, Rafael M. Frongillo, and Yiling Chen. 2016. “Eliciting Categorical Data for Optimal Aggregation.” In Proc. of the 30th Annual Conference on Neural Information Processing Systems (NIPS). Barcelona, Spain.
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), 352-358. Download
Victor Shnayder, Arpit Agarwal, Rafael 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 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), 179-196. Download
Eric Balkanski, Andreas Krause, Baharan Mirzasoleiman, and Yaron Singer. 2016. “Learning Sparse Combinatorial Representations viaTwo-stage Submodular Maximization.” In International Conference of Machine Learning (ICML) , 2207-2216. Download
Ashwinkumar Badanidiyuru, Christos Papadimitriou, Aviad Rubinstein, Lior Seeman, and Yaron Singer. 2016. “Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions.” In ACM-SIAM Symposium on Discrete Algorithms (SODA), 414-429. 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
Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, and Jennifer Wortman Vaughan. 2016. “Mathematical Foundations for Social Computing.” Communications of ACM.
Victor Shnayder, Rafael 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), 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), 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
Ming Yin and Yiling Chen. 2016. “Predicting Crowd Work Quality under Monetary Interventions.” 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), 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), 813. Download
2015
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
Jacob Abernethy, Yiling Chen, Chien-Ju Ho, and Bo Waggoner. 6/2015. “Low-Cost Learning via Active Data Procurement.” In Proc. of the 16th ACM Conference on Economics and Computation (EC), 619-636. Portland, Oregon. Download

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