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'It's Problematic but I'm not Concerned': University Perspectives on Account Sharing.

, , , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW1): 68:1-68:27 (2022)

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Robust distillation for worst-class performance: on the interplay between teacher and student objectives., , , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 2237-2247. PMLR, (2023)'It's Problematic but I'm not Concerned': University Perspectives on Account Sharing., , , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW1): 68:1-68:27 (2022)On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1522-1530. PMLR, (2024)Variational refinement for importance sampling using the forward Kullback-Leibler divergence., , , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1819-1829. AUAI Press, (2021)Pairwise Fairness for Ranking and Regression., , , and . AAAI, page 5248-5255. AAAI Press, (2020)Robust Optimization for Fairness with Noisy Protected Groups., , , , , and . NeurIPS, (2020)Deontological Ethics By Monotonicity Shape Constraints., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2043-2054. PMLR, (2020)Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence., , , , , and . CoRR, (2021)Lost in Translation: Reimagining the Machine Learning Life Cycle in Education., , , and . CoRR, (2022)Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints., , , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1397-1405. PMLR, (2019)