Publications

2017
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Calibrated fairness in Bandits.” In Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017). Download
Yang Liu. 2017. “Fair Optimal Stopping Policy for Matching with Mediator.” In In Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI-2017). 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
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
Yang Liu and Yiling Chen. 2017. “Machine Learning aided Peer Prediction.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017). Download
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Auctions through Deep Learning.” ArXiv e-prints. Download
Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah. 2017. “Peer Prediction with Heterogeneous Users.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017). Download
Avinatan Hassidim and Yaron Singer. 2017. “Robust Guarantees of Stochastic Greedy Algorithms.” In International Conference of Machine Learning (ICML) . Download
Eric Balkanski and Yaron Singer. 2017. “The Sample Complexity of Optimizing a Convex Function.” In Proc. of the Conference on Learning Theory (COLT-17). 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
Avinatan Hassidim and Yaron Singer. 2017. “Submodular Optimization under Noise.” In Proc. of the Conference on Learning Theory (COLT-17). Download
David C. Parkes, Paul Tylkin, and Lirong Xia. 2017. “Thwarting Vote Buying Through Decoy Ballots.” In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017). Download
David Parkes, Paul Tylkin, and Lirong Xia. 2017. “Thwarting Vote Buying Through Decoy Ballots.” In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 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).
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Kevin Leyton-Brown, David C. Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller. 9/2016. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel. Download
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
Victor Shnayder. 6/2016. “Making Peer Prediction Practical.” Computer Science. Download
Adam Su. 4/1/2016. “Data Procurement for Shortest Paths on Random Graphs”. Download
Lisa Wang. 4/2016. “Constructing Stable Matchings Using Preference Elicitation through Prices and Budgets”. Download

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