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Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification.

, , , , и . NeurIPS, стр. 12739-12750. (2019)

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Mohamed Mohamed

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Sparse conformal predictors.. Stat. Comput., 20 (2): 253-266 (2010)Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification., , , , и . NeurIPS, стр. 12739-12750. (2019)The Smooth-Lasso and other l1 + l2-penalized methods, и . Electron. J. Statist., (2011)Confidence Sets with Expected Sizes for Multiclass Classification., и . J. Mach. Learn. Res., (2017)Learning Heteroscedastic Models by Convex Programming under Group Sparsity., , , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 379-387. JMLR.org, (2013)Confidence Sets for Classification., и . SLDS, том 9047 из Lecture Notes in Computer Science, стр. 301-312. Springer, (2015)Active learning algorithm through the lens of rejection arguments., , , и . Mach. Learn., 113 (2): 753-788 (февраля 2024)Regression with reject option and application to kNN., , и . NeurIPS, (2020)How Correlations Influence Lasso Prediction., и . IEEE Trans. Inf. Theory, 59 (3): 1846-1854 (2013)The Smooth-Lasso and other ℓ1+ℓ2-penalized methods, и . Electronic Journal of Statistics, 5 (0): 1184--1226 (2011)