Publications

2019
Ben Green. 4/2019. The Smart Enough City, Putting Technology in It's Place to Reclaim Our Urban Future., Pp. 240. Cambridge: MIT Press. Download
Ben Green and Yiling Chen. 1/2019. “Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments.” In Conference on Fairness, Accountability, and Transparency (FAT* ’19). Download
Berk Ustun, Alexander Spanghler, and Yang Liu. 2019. “Actionable Recourse in Linear Classification.” In ACM Conference on Fairness, Accountability, and Transparency (FAT '19). Download
Christos Dimitrakakis, Yang Liu, David C. Parkes, and Goran Radanovic. 2019. “Bayesian Fairness.” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI). Download
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2019. “Contingent Payment Mechanisms for Resource Utilization.” In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS). Download
Eric Balkanski, Aviad Rubinstein, and Yaron Singer. 2019. “An Exponential Speedup in Parallel Running Time for Submodular Maximization without Loss in Approximation.” In Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA) 2019 . Download
Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David Parkes, and Yang Liu. 2019. “How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness.” In Proceedings of AI Ethics and Society (AIES) . Download
Thanh H. Nguyen and Haifeng Xu. 2019. “Imitative Attacker Deception in Stackelberg Security Games.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). Download
Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, and Michael Wooldridge. 2019. “Imitative Follower Deception in Stackelberg Games.” In Proceedings of the 20th ACM Conference on Economics and Computation (EC'19). Download
Yiling Chen and Shuran Zheng. 2019. “Prior-free Data Acquisition for Accurate Statistical Estimation.” In Proceedings of the 20th ACM Conference on Economics and Computation (EC'19). Download
Yiling Chen, Yang Liu, and Juntao Wang. 2019. “Randomized Wagering Mechanisms.” In Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) . Download
2018
Zhe Feng and Jinglai Li. 5/8/2018. “An adaptive independence sampler MCMC algorithm for infinite dimensional Bayesian inferences.” SIAM Journal on Scientific Computing, 40, 3, Pp. 1301-1321. Download
David C. Parkes. 1/2018. “Technical perspective: Moving spectrum.” Communications of the ACM, 61, 1, Pp. 96. Download
Eric Balkanski and Yaron Singer. 2018. “Approximation Guarantees for Adaptive Sampling.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).
Dimitris Fotakis, Kyriakos Lotidis, and Chara Podimata. 2018. “A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders”. Download
Lily Hu. 2018. “Justice Beyond Utility in Artificial Intelligence.” Artificial Intelligence, Ethics, and Society. (AIES 2018). Download
Alexander Spangher and Berk Ustun. 2018. “Actionable Recourse in Linear Classification.” In 5th Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018). Download
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, and Milind Tambe. 2018. “Activating the 'Breakfast Club': Modeling Influence Spread in Natural-World Social Networks.” In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018). Download
Shuran Zheng, Bo Waggoner, Yang Liu, and Yiling Chen. 2018. “Active Information Acquisition for Linear Optimization.” In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI-2018). Download
Eric Balkanski and Yaron Singer. 2018. “The Adaptive Complexity of Maximizing a Submodular Function.” In Proceedings of the ACM Symposium on the Theory of Computation (STOC) 2018 . Download

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