Publications

2017
Christos Dimitrakakis, David C. Parkes, Goran Radanovic, and Paul Tylkin. 2017. “Multi-View Decision Processes: The Helper-AI Problem.” In Proc. 30th Advances in Neural Information Processing Systems (NIPS'17), Pp. 5449-5458. Download
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Auctions through Deep Learning.” ArXiv e-prints. Download
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Economic Design through Deep Learning.” In Proc. of the NPS Workshop on "Learning in the Presence of Strategic Behavior." Long Beach, CA. Download
Ming Yin. 2017. “Peeking into the On-Demand Economy: Crowd Behavior and Incentive Design”. 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
Hassidim Avinatan and Yaron Singer. 2017. “Robust Guarantees of Stochastic Greedy Algorithms.” In International Conference of Machine Learning (ICML) . Download
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

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