Publications

2016
Anson Kahng. 4/2016. “Timing Objectives in Dynamic Kidney Exchange.” Computer Science. Download
Panos Toulis. 2/2016. “Implicit methods for iterative estimation with large data sets”. Download
Bo Waggoner. 2016. “Acquiring and Aggregating Information from Strategic Sources.” Computer Science. Download
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
Ming Yin, Mary Gray, Siddharth Suri, and Jennifer Wortman Vaughan. 2016. “The Communication Network Within the Crowd.” In Proceedings of the 25th International World Wide Web Conference (WWW '16), Pp. 1293-1303. 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
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
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), Pp. 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), 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
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) , Pp. 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), Pp. 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.
Thibaut Horel and Yaron Singer. 2016. “Maximizing Approximately Submodular Functions.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2016. 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

Pages