David C. Parkes, Ariel Procaccia, and Nisarg Shah. 2014. “Beyond Dominant Resource Fairness: Extensions, Limitations, and Indivisibilities.” Transactions on Economics and Computation, 3, 1, Pp. 3.

Yoram Bachrach, David C. Parkes, and Jeffrey S. Rosenschein. 2014. “Computing Cooperative Solution Concepts in Coalitional Skill Games.” Artificial Intelligence, 204, Pp. 1-21.

Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2014. “Computing Parametric Ranking Models via Rank-Breaking.” In Proceedings of the International Conference on Machine Learning (ICML 2014), Pp. 360-368.

Shaili Jain, Yiling Chen, and David C. Parkes. 2014. “Designing Incentives for Online Question-and-Answer Forums.” Games and Economic Behavior, 86, Pp. 458-474.

Ian A. Kash, Rohan Murty, and David C. Parkes. 2014. “Enabling Spectrum Sharing in Secondary Market Auctions.” IEEE Transactions on Mobile Computing, 13, Pp. 556-568.

Paul Duetting, Felix A. Fischer, and David C. Parkes. 2014. “Expressiveness and Robustness of First-Price Position Auctions.” In Proceedings of the 15th ACM Conference on Economics and Computation (EC’14), Pp. 57-74.

Malvika Rao, David C. Parkes, Margo Seltzer, and David F. Bacon. 2014. “A Framework for Incentivizing Deep Fixes.” In Proc. AAAI 2014 Workshop on Incentives and Trust in E-Communities (WIT-EC’14).

Paul Duetting, Felix A. Fischer, Pichayut Jirapinyo, John Lai, Benjamin Lubin, and David C. Parkes. 2014. “Payment Rules through Discriminant-Based Classifiers.” ACM Transactions on Economics and Computation, 3, 1, Pp. 5.

Hossein Azari Soufiani, David C. Parkes, and Lirong Xia. 2014. “A Statistical Decision-Theoretic Framework for Social Choice.” In Proceedings of the Advances in Neural Information Processing Systems 27 (NIPS 2014), Pp. 3185-3193.

Sven Seuken and David C. Parkes. 2014. “Sybil-proof Accounting Mechanisms with Transitive Trust.” In Proceedings of the 13th Int. Conf. on Automonous Agents and Multiagent Systems (AAMAS’14), Pp. 205-212.

Victor Shnayder, Vikas Kawadia, Jeremy Hoon, and David C. Parkes. 2014. “Truthful Prioritization for Dynamic Bandwidth Sharing.” In Proceedings 15th ACM Int. Symp. on Mobile Ad Hoc Networking and Computing (MobiHoc 2014), Pp. 235-244.

Haoqi Zhang, Eric Horvitz, and David C. Parkes. 2013. “Automated Workflow Synthesis.” In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13).

James Zou, Daniel Hsu, David C. Parkes, and Ryan P. Adams. 2013. “Contrastive Learning Using Spectral Methods.” In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Pp. 2238-2246.

Jens Witkowski, Yoram Bachrach, Peter Key, and David C. Parkes. 2013. “Dwelling on the Negative: Incentivizing Effort in Peer Prediction.” In Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing (HCOMP’13).

David C. Parkes and Ariel D. Procaccia. 2013. “Dynamic Social Choice with Evolving Preferences.” In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13).

Valentin Robu, David C. Parkes, Takayuki Ito, and Nicholas R. Jennings. 2013. “Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders.” In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Pp. 339-345.

Ian A. Kash, Rohan Murty, and David C. Parkes. 2013. “Enabling Sharing in Auctions for Short-term Spectrum Licenses.” In Mechanisms and Games for Dynamic Spectrum Allocation. Cambridge University Press.

Shaili Jain and David C. Parkes. 2013. “A Game-Theoretic Analysis of the ESP Game.” ACM Transactions on Economics and Computation, 1, 1, Pp. 3:1–3:35.

Hossein Azari Soufiani, William Chen, David C. Parkes, and Lirong Xia. 2013. “Generalized Method-of-Moments for Rank Aggregation.” In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Pp. 2706-2714.

Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai, and David C. Parkes. 2013. “Generalized Random Utility Models with Multiple Types.” In Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Pp. 73-81.