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Decision making with limited feedback.

, , , , and . ALT, volume 83 of Proceedings of Machine Learning Research, page 359-367. PMLR, (2018)

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Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk).. SWAT, volume 101 of LIPIcs, page 2:1-2:1. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Approximation algorithm for the kinetic robust K-center problem., and . Comput. Geom., 43 (6-7): 572-586 (2010)Interpretable Active Learning., , and . FAT, volume 81 of Proceedings of Machine Learning Research, page 49-61. PMLR, (2018)Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data., , and . CoRR, (2019)Fairness warnings and fair-MAML: learning fairly with minimal data., , and . FAT*, page 200-209. ACM, (2020)Runaway Feedback Loops in Predictive Policing., , , , and . CoRR, (2017)Clustering via Information Access in a Network., , , , , and . CoRR, (2020)Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment., , , and . Comput. Educ., 51 (4): 1467-1485 (2008)The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making., , and . Commun. ACM, 64 (4): 136-143 (2021)Problems with Shapley-value-based explanations as feature importance measures., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5491-5500. PMLR, (2020)