Publications

2018
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
Noah Golowich, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Multi-Facility Location Mechanism Design.” In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), Pp. 261-267. Download
Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Revenue-Optimal Auctions with Budgets.” In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), Pp. 354-362. Download
Nir Rosenfeld, Yishai Mansour, and Elad Yom-Tov. 2018. “Discriminative Learning of Prediction Intervals.” The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) . Download
Ben Green. 2018. ““Fair” Risk Assessments: A Precarious Approach for Criminal Justice Reform.” In 5th Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018). Download
Goran Radanovic, Adish Singla, Andreas Krause, and Boi Faltings. 2018. “Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints.” In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18). Download
Dimitris Kalimeris, Karthik Subbian, Udi Weinsberg, and Yaron Singer. 2018. “Learning Diffusion using Hyperparameters.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).
Zhe Feng, Chara Podimata, and Vasilis Syrgkanis. 2018. “Learning to Bid Without Knowing your Value.” In Proceedings of the 19th ACM Conference on Economics and Computation (EC'18). Download
Nir Rosenfeld, Eric Balkanski, Amir Globerson, and Yaron Singer. 2018. “Learning to Optimize Combinatorial Functions.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Download
Ben Green and Lily Hu. 2018. “The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning.” In The Debates workshop at the 35th International Conference on Machine Learning (ICML '18). Download
Eric Balkanski, Adam Breuer, and Yaron Singer. 2018. “Non-monotone Submodular Maximization in Exponentially Fewer Iterations.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2018.
Rediet Abebe, Jon M. Kleinberg, David C. Parkes, and Charalampos Tsourakakis. 2018. “Opinion Dynamics with Varying Susceptibility to Persuasion.” In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18), Pp. 1089-1098. Download
Avinatan Hassidim and Yaron Singer. 2018. “Optimization for Approximate Submodularity.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2018.
Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, and Edoardo M. Airoldi. 2018. “Optimizing Cluster-based Randomized Experiments under Monotonicity.” In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18), Pp. 2090-2099. Download
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

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