Chen, Yiling

2017
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
Yang Liu and Yiling Chen. 2017. “Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices.” In Proc. of The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) . Download
2016
Yiling Chen and Yang Liu. 12/2016. “A Bandit Framework for Strategic Regression.” In Proc. of the 30th Annual Conference on Neural Information Processing Systems (NIPS). Barcelona, Spain.
Yiling Chen and Bo Waggoner. 10/2016. “Informational Substitutes.” In Proc. of the 57th Annual IEEE Symposium on Foundations of Computer Science (FOCS).
Yang Liu and Yiling Chen. 7/2016. “Learning to Incentivize: Eliciting Effort via Output Agreement.” In Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI), Pp. 3782-3788. New York, NY. Download
Chien-Ju Ho, Rafael M. Frongillo, and Yiling Chen. 2016. “Eliciting Categorical Data for Optimal Aggregation.” In Proc. of the 30th Annual Conference on Neural Information Processing Systems (NIPS). Barcelona, Spain.
Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, and Jennifer Wortman Vaughan. 2016. “Mathematical Foundations for Social Computing.” Communications of ACM.
Ming Yin and Yiling Chen. 2016. “Predicting Crowd Work Quality under Monetary Interventions.” In Proc. of the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Download
2015
Jacob Abernethy, Yiling Chen, Chien-Ju Ho, and Bo Waggoner. 6/2015. “Low-Cost Learning via Active Data Procurement.” In Proc. of the 16th ACM Conference on Economics and Computation (EC), Pp. 619-636. Portland, Oregon. Download
Yiling Chen, Xi Alice Gao, Rick Goldstein, and Ian A. Kash. 3/2015. “Market Manipulation with Outside Incentives.” Autonomous Agents and Multi-Agent Systems, 29, 2, Pp. 230-265. Download
Nicolas S. Lambert, John Langford, Jennifer Wortman Vaughan, Yiling Chen, Daniel Reeves, Yoav Shoham, and David M. Pennock. 2015. “An Axiomatic Characterization of Wagering Mechanisms.” Journal of Economic Theory, 156, Pp. 389-416. Download
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
Rafael M. Frongillo, Yiling Chen, and Ian A. Kash. 2015. “Elicitation for Aggregation.” In Proceedings of the 29th Conference on Artificial Intelligence (AAAI'15), Pp. 900-906. Download
Yiling Chen, Kobbi Nissim, and Bo Waggoner. 2015. “Fair Information Sharing for Treasure Hunting.” In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Pp. 851-857. Download
Anna Dreber, Thomas Pfeiffer, Johan Almenberg, Siri Isakssona, Brad Wilson, Yiling Chen, Brian A. Nosek, and Magnus Johannesson. 2015. “Using Prediction Markets to Estimate the Reproducibility of Scientific Research.” In PNAS, 50th ed., 112: Pp. 15343-15347. Download
Marcus R. Munafo, Thomas Pfeiffer, Adam Altmejd, Emma Heikensten, Johan Almenberg, Alexander Bird, Yiling Chen, Brad Wilson, Magnus Johannesson, and Anna Dreber. 2015. “Using Prediction Markets to Forecast Research Evaluations.” Royal Society Open Science, 2, 150287. Download
2014
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
Peter Zhang and Yiling Chen. 2014. “Elicitability and Knowledge-Free Elicitation with Peer Prediction.” In Proceedings of the 14th International Conference on Autonomous Agent & Multiagent Systems (AAMAS'14), Pp. 245-252. Download
Yiling Chen, Ian A. Kash, Mike Ruberry, and Victor Shnayder. 2014. “Eliciting Predictions and Recommendations for Decision Making.” ACM Transactions on Economics and Computation, 2, 2, Pp. 6:1-6:27. Download
Simina Branzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Soren Kristoffer Stiil Frederiksen, and Jie Zhang. 2014. “The Fisher Market Game: Equilibrium and Welfare.” In Proceedings of the 28th Conference on Artificial Intelligence (AAAI'14), Pp. 587-593. Download

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