Chen, Yiling

2020
Yiling Chen, Yang Liu, and Chara Podimata. 2020. “Learning Strategy-Aware Linear Classifiers.” In In Proceedings of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020). Download
Yiling Chen, Haifeng Xu, and Shuran Zheng. 2020. “Selling Information Through Consulting.” In ACM-SIAM Symposium on Discrete Algorithms (SODA20). Download
Yang Liu, Juntao Wang, and Yiling Chen. 2020. “Surrogate Scoring Rules.” In Proceedings of the Twenty-first ACM Conference on Economics and Computation. (EC '20). Download
Yiling Chen, Yiheng Shen, and Shuran Zheng. 2020. “Truthful Data Acquisition via Peer Prediction.” In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020). Download
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
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
Yiling Chen and Shuran Zheng. 2019. “Prior-free Data Acquisition for Accurate Statistical Estimation.” In Proceedings of the 20th ACM Conference on Economics and Computation (EC'19). Download
Yiling Chen, Yang Liu, and Juntao Wang. 2019. “Randomized Wagering Mechanisms.” In Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) . Download
2018
Shuran Zheng, Bo Waggoner, Yang Liu, and Yiling Chen. 2018. “Active Information Acquisition for Linear Optimization.” In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI-2018). Download
Lily Hu and Yiling Chen. 2018. “A Short-term Intervention for Long-term Fairness in the Labor Market.” In Proceedings of the 27th International Conference on World Wide Web. (WWW 2018). Download
Yiling Chen, Chara Podimata, Ariel D. Procaccia, and Nisarg Shah. 2018. “Strategyproof Linear Regression in High Dimensions.” In Proceedings of the 19th ACM Conference on Economics and Computation (EC'18). Download
2017
Lily Hu and Yiling Chen. 2017. “Fairness at Equilibrium in the Labor Market.” In Workshop on Fairness, Accountability, and Transparency in Machine Learning. (FAT/ML 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
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

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