Publications

2017
Robert Chen, Brendan Lucier, Vasilis Syrgkanis, and Yaron Singer. 2017. “Robust Optimization for Non-Convex Objectives.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2017. 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 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
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
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
Roger Huang. 4/2016. “Enhancing ZH ! ℓℓbb Searches with Multiple Interpretations in the ATLAS Detector”. Download
Anson Kahng. 4/2016. “Timing Objectives in Dynamic Kidney Exchange.” Computer Science. Download
Panos Toulis. 2/2016. “Implicit methods for iterative estimation with large data sets”. Download
Bo Waggoner. 2016. “Acquiring and Aggregating Information from Strategic Sources.” Computer Science. Download
Harikrishna Narasimhan, Shivani Agarwal, and David C. Parkes. 2016. “Automated Mechanism Design without Money via Machine Learning.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), Pp. 433-439. Download
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
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2016. “Contingent Payment Mechanisms to Maximize Resource Utilization.” arXiv preprint arXiv:1607.06511. Download

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