Publications

2017
Eric Balkanski, Aviad Rubinstein, and Yaron Singer. 2017. “The Limitations of Optimization from Samples.” In ACM Symposium on the Theory of Computing (STOC 2017). Download
Hongyao Ma, David C. Parkes, and Valentin Robu. 2017. “Generalizing Demand Response Through Reward Bidding.” Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Download
Yang Liu and Yiling Chen. 2017. “Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices.” In The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) . Download
2016
Victor Shnayder, Arpit Agarwal, Rafael Frongillo, and David Parkes. 2016. “Informed Truthfulness for Multi-Task Peer Prediction.” In Proc. of the HCOMP Workshop on Mathematical Foundations of Human Computation. Download
Debmalya Mandal, Matthew Leifer, David C. Parkes, Galen Pickard, and Victor Shnayder. 2016. “Peer Prediction with Heterogeneous Tasks.” In Proc. of the NIPS Workshop on Crowdsourcing and Machine Learning. 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
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.
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 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), 3782-3788. New York, NY. Download
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
Anson Kahng. 4/2016. “Timing Objectives in Dynamic Kidney Exchange.” Computer Science. Download
Eric Balkanski, Andreas Krause, Baharan Mirzasoleiman, and Yaron Singer. 2016. “Learning Sparse Combinatorial Representations viaTwo-stage Submodular Maximization.” In International Conference of Machine Learning (ICML) , 2207-2216. Download
Ashwinkumar Badanidiyuru, Christos Papadimitriou, Aviad Rubinstein, Lior Seeman, and Yaron Singer. 2016. “Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions.” In ACM-SIAM Symposium on Discrete Algorithms (SODA), 414-429. Download

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