Parkes, David C.

2012
Benjamin Lubin and David C. Parkes. 2012. “Approximate strategyproofness.” Current Science, 103, Pp. 1021-1032.
David C. Parkes, Ariel D. Procaccia, and Nisarg Shah. 2012. “Beyond Dominant Resource Fairness: Extensions, Limitations, and Indivisibilities.” In Proceedings of the 13th ACM Conference on Electronic Commerce (EC ’12), Pp. 808-825.
David C. Parkes and Lirong Xia. 2012. “A Complexity-of-Strategic-Behavior Comparison between Schulze’s Rule and Ranked Pairs.” In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI ’12).
James Zou and David C. Parkes. 2012. “Get another worker? Active crowdlearning with sequential arrivals.” In Proceedings of the Workshop on Machine Learning in Human Computation and Crowdsourcing(ICML’12).
Haoqi Zhang, Edith Law, Robert C. Miller, Krzysztof Z. Gajos, David C. Parkes, and Eric Horvitz. 2012. “Human Computation Tasks with Global Constraints: A Case Study.” In Proceedings of the ACM Conference on Human Factors in Computing (CHI’12), Pp. 217-226.
Sven Seuken, David C. Parkes, Eric Horvitz, Kamal Jain, Mary Czerwinski, and Desney Tan. 2012. “Market User Interface Design.” In Proceedings of the 13th ACM Conference on Electronic Commerce (EC ’12), Pp. 898-915.
John K. Lai and David C. Parkes. 2012. “Monotone Branch-and-Bound Search for Restricted Combinatorial Auctions.” In Proceedings of the 13th ACM Conference on Electronic Commerce (EC ’12), Pp. 705-722.
Paul Duetting, Felix A. Fischer, Pichayut Jirapinyo, John K. Lai, Benjamin Lubin, and David C. Parkes. 2012. “Payment Rules through Discriminant-Based Classifiers.” In Proceedings of the 13th ACM Conference on Electronic Commerce (EC ’12), Pp. 477-494.
Jens Witkowski and David C. Parkes. 2012. “Peer Prediction without a Common Prior.” In Proceedings of the 13th ACM Conference on Electronic Commerce (EC ’12), Pp. 964-981.
David F. Bacon, Yiling Chen, Ian A. Kash, David C. Parkes, Malvika Rao, and Manu Sridharan. 2012. “Predicting Your Own Effort.” In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS ’12), Pp. 695-702.
Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2012. “Random Utility Theory for Social Choice.” In Proceeedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS’12), Pp. 126-134.
Jens Witkowski and David C. Parkes. 2012. “A Robust Bayesian Truth Serum for Small Populations.” In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI ’12).
Haoqi Zhang, Eric Horvitz, Yiling Chen, and David C. Parkes. 2012. “Task Routing for Prediction Tasks.” In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-12), Pp. 889-896.
Victor Shnayder, Jeremy Hoon, David C. Parkes, and Vikas Kawadia. 2012. “Truthful Prioritization Schemes for Spectrum Sharing.” In Proceedings of the Seventh Workshop on the Economics of Networks, Systems and Computation (NetEcon’12), Pp. 196-201.
Andrew Mao, Yiling Chen, Krzysztof Z. Gajos, David C. Parkes, Ariel D. Procaccia, and Haoqi Zhang. 2012. “TurkServer: Enabling Synchronous and Longitudinal Online Experiments.” In Proceedings of the Fourth Workshop on Human Computation (HCOMP-12).
2011
Shaili Jain and David C. Parkes. 2011. “Combinatorial Agency of Threshold Functions.” In Proceedings of the 4th Symposium on Algorithmic Game Theory (SAGT’11), Pp. 154-165.
Shaili Jain and David C. Parkes. 2011. “Combinatorial Agency of Threshold Functions.” In Proceedings EC’11 Workshop on Social Computing and User Generated Content.
Haoqi Zhang, Eric Horvitz, Rob C. Miller, and David C. Parkes. 2011. “Crowdsourcing General Computation.” In Proceedings of the CHI 2011 Workshop on Crowdsourcing and Human Computation.
Ian A. Kash, Rohan Murty, and David C. Parkes. 2011. “Enabling Spectrum Sharing in Secondary Market Auctions.” In Proceedings of the 6th Workshop on the Economics of Networks, Systems, and Computation (NetEcon’11).
Florin Constantin, Malvika Rao, Chien-Chung Huang, and David C. Parkes. 2011. “On Expressing Value Externalities in Position Auctions.” In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI’11), Pp. 644-649.

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