Matching and Markets

2021
Alon Eden, Michal Feldman, Amos Fiat, and Kineret Segal. 2021. “An Economics-Based Analysis of RANKING for Online Bipartite Matching.” In SIAM Symposium on Simplicity in Algorithms (SOSA21). Download
2020
Malvika Rao, David F. Bacon, David C. Parkes, and Margo Seltzer. 2020. “Incentivizing Deep Fixes in Software Economies.” IEEE Transactions on Software Engineering, 46, 1, Pp. 51-70. Download
Ben Berger, Alon Eden, and Michal Feldman. 2020. “On the Power and Limits of Dynamic Pricing in Combinatorial Markets.” In The 16th Conference on Web and Internet Economics, WINE'20. Download
2019
Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, and David C. Parkes. 2019. “Ridesharing with Driver Location Preferences.” In Proceedings of the 28th Int. Joint Conf. on Artificial Intelligence, (IJCAI 2019), Pp. 557-564. Download
2018
David C. Parkes. 1/2018. “Technical perspective: Moving spectrum.” Communications of the ACM, 61, 1, Pp. 96. Download
Noah Golowich, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Multi-Facility Location Mechanism Design.” In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), Pp. 261-267. Download
Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Revenue-Optimal Auctions with Budgets.” In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), Pp. 354-362. Download
Hongyao Ma, Fei Fang, and David C. Parkes. 2018. “Spatio-Temporal Pricing for Ridesharing Platforms.” arXiv preprint arXiv:1801.04015. Download
2017
Reshef Meir, Hongyao Ma, and Valentin Robu. 2017. “Contract Design for Energy Demand Response.” In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17. Download
Hongyao Ma, David C. Parkes, and Valentin Robu. 2017. “Generalizing Demand Response Through Reward Bidding.” In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Download
2016
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2016. “Contingent Payment Mechanisms to Maximize Resource Utilization.” arXiv preprint arXiv:1607.06511. 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
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
2015
David C. Parkes, Christopher Thorpe, and Wei Li. 2015. “Achieving Trust without Disclosure: Dark Pools and a Role for Secrecy-Preserving Verification.” In Proceedings of the Third Conference on Auctions, Market Mechanisms and Their Applications (AMMA'15). Download
Aranyak Mehta, Bo Waggoner, and Morteza Zadimoghaddam. 2015. “Online Stochastic Matching with Unequal Probabilities.” In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA-15), Pp. 1388-1404. Download
2013
Yang Cai, Mohammad Mahdian, Aranyak Mehta, and Bo Waggoner. 2013. “Designing Markets for Daily Deals.” In 9th Conference on Web and Internet Economics (WINE-13), Pp. 82-95. Download
2012
Benjamin Lubin and David C. Parkes. 2012. “Approximate strategyproofness.” Current Science, 103, Pp. 1021-1032. Download
Yiling Chen, Mike Ruberry, and Jennifer Wortman Vaughan. 2012. “Designing Informative Securities.” In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI '12), Pp. 185-195. Download
Ian A. Kash, John K. Lai, Haoqi Zhang, and Aviv Zohar. 2012. “Economics of BitTorrent Communities.” In Proceedings of the ACM International World Wide Web Conference (WWW '12), Pp. 221-230. Download
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. Download

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