Adam Su. 4/1/2016. “Data Procurement for Shortest Paths on Random Graphs”. Download
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.
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
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
Bo Waggoner. 2016. “Acquiring and Aggregating Information from Strategic Sources.” Computer Science. 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
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
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
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2016. “Contingent Payment Mechanisms to Maximize Resource Utilization.” arXiv preprint arXiv:1607.06511. Download
Victor Shnayder. 6/2016. “Making Peer Prediction Practical.” 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), 433-439. Download