Parkes, David C.

2008
Haoqi Zhang and David C. Parkes. 2008. “Enabling Environment Design via Active Indirect Elicitation.” In Proc. Workshop on Preference Handling. Chicago, IL.
Sébastien Lahaie, David C. Parkes, and David Pennock. 2008. “An Expressive Auction Design for Online Display Advertising.” In 23rd AAAI Conference on Artificial Intelligence, Pp. 108–113.
Craig Boutilier, David C. Parkes, Tuomas Sandholm, and William E. Walsh. 2008. “Expressive Banner Ad auctions and Model-based Online Optimization for Clearing.” In Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI’08), Pp. 30–37.
Shaili Jain and David C. Parkes. 2008. “A Game-Theoretic Analysis of Games with a Purpose.” In 4th International Workshop on Internet and Network Economics (WINE’08), Pp. 342–350.
Mark Klein, Gabriel A. Moreno, David C. Parkes, Daniel Plakosh, Sven Seuken, and Kurt C. Wallnau. 2008. “Handling interdependent values in an auction mechanism for bandwidth allocation in tactical data networks.” In Proc. ACM SIGCOMM 2008 Workshop on Economics of Networked Systems (NetEcon’08), Pp. 73–78.
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, Sébastien Lahaie, Jeffrey Shneidman, and David C. Parkes. 2008. “ICE: An Expressive Iterative Combinatorial Exchange.” Journal of Artificial Intelligence Research, 33, Pp. 33–77.
Sevan Ficici, David C. Parkes, and Avi Pfeffer. 2008. “Learning and solving many-player games through a cluster-based representation.” In Proc. 24th Conference in Uncertainty in Artificial Intelligence (UAI’08), Pp. 187–195.
Adrian Petcu, Boi Faltings, and David C. Parkes. 2008. “M-DPOP: Faithful Distributed Implementations of Efficient Social Choice Problems.” Journal of Artificial Intelligence Research, 32, Pp. 705–755.
Sébastien Lahaie and David C. Parkes. 2008. “A Modular Framework for Iterative Combinatorial Auctions.” SIGecom Exchanges, 7.2.
Sven Seuken, Ruggiero Cavallo, and David C. Parkes. 2008. “Partially synchronized DEC-MDPs in Dynamic Mechanism Design.” In Proc. 23rd AAAI Conference on Artificial Intelligence(AAAI’08), Pp. 162–169.
Katherine L. Milkman, James Burns, David C. Parkes, Greg Barron, and Kagan Tumer. 2008. “Testing a Purportedly More Learnable Auction Mechanism.” Applied Economics Research Bulletin, Special Issue I, Pp. 106–141.
Haoqi Zhang and David C. Parkes. 2008. “Value-based Policy Teaching with Active Indirect Elicitation.” In Proc. 23rd AAAI Conference on Artificial Intelligence (AAAI’08), Pp. 208–214. Chicago, IL.
2007
R. Kang-Xing Jin, David C. Parkes, and Patrick J. Wolfe. 2007. “Analysis of Bidding Networks in eBay: Aggregate Preference Identification through Community Detection.” In Proc. AAAI Workshop on Plan, Activity and Intent Recognition (PAIR). Vancouver, Canada.
Debasis Mishra and David C. Parkes. 2007. “Ascending Price Vickrey Auctions for General Valuations.” Journal of Economic Theory, 132, Pp. 335–366.
Jonathan Bredin, David C. Parkes, and Quang Duong. 2007. “Chain: A Dynamic Double Auction Framework for Matching Patient Agents.” Journal of Artificial Intelligence Research, 30, Pp. 133–179.
Christopher Thorpe and David C. Parkes. 2007. “Cryptographic Securities Exchanges.” In Proc. 11th International Conference onFinancial Cryptography and Data Security, Pp. 163–178. Trinidad/Tobago.
Laura Kang and David C. Parkes. 2007. “A Decentralized Auction Framework to Promote Efficient Resource Allocation in Open Computational Grids.” In Proc. Joint Workshop on The Economics of Networked Systems and Incentive-Based Computing (NetEcon-IBC). San Diego, CA.
Jacomo Corbo, Shaili Jain, Michael Mitzenmacher, and David C. Parkes. 2007. “An Economically Principled Generative Model of AS Graph Connectivity.” In Proc. Joint Workshop on The Economics of Networked Systems and Incentive-Based Computing.
Anna Nagurney, David C. Parkes, and Patrizia Daniele. 2007. “The Internet, Evolutionary Variational Inequalities, and the Time-Dependent Braess Paradox.” Computational Management Science, 4, Pp. 355–375.
David C. Parkes and Quang Duong. 2007. “An Ironing-Based Approach to Adaptive Online Mechanism Design in Single-Valued Domains.” In Proc. 22nd National Conference on Artificial Intelligence (AAAI’07), Pp. 94–101.

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