Publications

2018
Goran Radanovic and Boi Faltings. 2018. “Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18). Download
Reshef Meir and David C. Parkes. 2018. “Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents.” In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18), Pp. 86-94. Download
Nir Rosenfeld and Amir Globerson. 2018. “Semi-Supervised Learning with Competitive Infection Models.” The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018). Download
Lily Hu and Yiling Chen. 2018. “A Short-term Intervention for Long-term Fairness in the Labor Market.” In Proceedings of the 27th International Conference on World Wide Web. (WWW 2018). Download
Hongyao Ma, Reshef Meir, and David C. Parkes. 2018. “Social Choice with Non Quasi-linear Utilities.” arXiv preprint arXiv:1804.02268. Download
Hongyao Ma, Fei Fang, and David C. Parkes. 2018. “Spatio-Temporal Pricing for Ridesharing Platforms.” arXiv preprint arXiv:1801.04015. Download
Yiling Chen, Chara Podimata, Ariel D. Procaccia, and Nisarg Shah. 2018. “Strategyproof Linear Regression in High Dimensions.” In Proceedings of the 19th ACM Conference on Economics and Computation (EC'18). Download
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
Reshef Meir, Hongyao Ma, and Valentin Robu. 2017. “Contract Design for Energy Demand Response.” In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17. Download
Rediet Abebe, Jon M. Kleinberg, and David C. Parkes. 2017. “Fair Division via Social Comparison.” In Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS'17), Pp. 281-289. Download
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Fair Experimentation.” In Conference on Digital Experimentation (CODE).
Yang Liu. 2017. “Fair Optimal Stopping Policy for Matching with Mediator.” In Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI-2017). Download
Lily Hu and Yiling Chen. 2017. “Fairness at Equilibrium in the Labor Market.” In Workshop on Fairness, Accountability, and Transparency in Machine Learning. (FAT/ML 2017). Download
Boi Faltings and Goran Radanovic. 2017. Game Theory for Data Science: Eliciting Truthful Information. Morgan & Claypool Publishers.
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
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, Sebastien Lahaie, Jeffrey Shneidman, and David C. Parkes. 2017. “ICE: An Expressive Iterative Combinatorial Exchange.” In Handbook of Spectrum Auction Design, 39: Pp. 828-873. Cambidge University Press.
Eric Balkanski, Nicole Immorlica, and Yaron Singer. 2017. “The Importance of Communities for Learning to Influence.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2017. 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
Liu Yang and Yiling Chen. 2017. “Machine Learning aided Peer Prediction.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017). Download
Eric Balkanski and Yaron Singer. 2017. “Minimizing a Submodular Function from Samples.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2017. Download

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