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 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 Hassidim Avinatan and Yaron Singer. 2017. “
Robust Guarantees of Stochastic Greedy Algorithms.” In International Conference of Machine Learning (ICML) .
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 Avinatan Hassidim and Yaron Singer. 2017. “
Submodular Optimization under Noise.” In Proc. of the Conference on Learning Theory (COLT-17).
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