Social Computing

2019
Ben Green and Yiling Chen. 1/2019. “Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments.” In Conference on Fairness, Accountability, and Transparency (FAT* ’19). Download
Christos Dimitrakakis, Yang Liu, David C. Parkes, and Goran Radanovic. 2019. “Bayesian Fairness.” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI). Download
Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David Parkes, and Yang Liu. 2019. “How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness.” In Proceedings of AI Ethics and Society (AIES) , Pp. 99-106. Download
Ben Green and Yiling Chen. 2019. “The Principles and Limits of Algorithm-in-the-Loop Decision Making.” Proceedings of the ACM on Human-Computer Interaction, 3, CSCW, Pp. Article 50. Download
2018
Malvika Rao, David F. Bacon, David C. Parkes, and Margo Seltzer. 2018. “Incentivizing Deep Fixes in Software Economies.” IEEE Transactions on Software Engineering. Download
2017
Yang Liu. 2017. “Fair Optimal Stopping Policy for Matching with Mediator.” In Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI-2017). Download
Liu Yang and Yiling Chen. 2017. “Machine Learning aided Peer Prediction.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017). Download
2016
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
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
2015
Ming Yin and Yiling Chen. 2015. “Bonus or Not? Learn to Reward in Crowdsourcing.” In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), 2015, Pp. 201-208. Download
Silvio Lattanzi and Yaron Singer. 2015. “The Power of Random Neighbors in Social Networks.” In The ACM Conference on Web Search and Data Mining (WSDM-15), Pp. 77-86. Download
2014
Hossein Azari Soufiani, Denis J. Charles, David M. Chickering, and David C. Parkes. 2014. “Approximating the Shapley Value via Multi-Issue Decomposition,” In Proceedings of the 13th Int. Conf. on Automonous Agents and Multiagent Systems (AAMAS'14), Pp. 1209-1216. Download
Yoram Bachrach, David C. Parkes, and Jeffrey S. Rosenschein. 2014. “Computing Cooperative Solution Concepts in Coalitional Skill Games.” Artificial Intelligence, 204, Pp. 1-21. Download
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. Download
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). Download
Yiling Chen, Xi Alice Gao, Rick Goldstein, and Ian A. Kash. 2014. “Market Manipulation with Outside Incentives.” Journal of Autonomous Agents and Multi-Agent Systems, 29, 2, Pp. 230-265. Download
Ming Yin, Yiling Chen, and Yu-An Sun. 2014. “Monetary Interventions in Crowdsourcing Task Switching.” In Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP'14). Download
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. Download
Xi Alice Gao, Andrew Mao, Yiling Chen, and Ryan P. Adams. 2014. “Trick or Treat: Putting Peer Prediction to the Test.” In Proceedings of the 15th ACM Conference on Economics and Computation (EC 2014), Pp. 507-524. Download
2013
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). Download

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