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Optimality of Robust Online Learning., , and . CoRR, (2023)On the robustness of regularized pairwise learning methods based on kernels., and . J. Complex., (2016)A short note on extension theorems and their connection to universal consistency in machine learning., , and . CoRR, (2016)Total Stability of SVMs and Localized SVMs., and . CoRR, (2021)Measuring overlap in binary regression, and . Computational Statistics & Data Analysis, 37 (1): 65--75 (Jul 28, 2001)Sparsity of SVMs that use the epsilon-insensitive loss., and . NIPS, page 1569-1576. Curran Associates, Inc., (2008)Regression depth and support vector machine.. Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications, volume 72 of DIMACS Series in Discrete Mathematics and Theoretical Computer Science, page 71-85. DIMACS/AMS, (2003)Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications., , and . Comput. Stat., 17 (2): 273-287 (2002)A robust estimator for the tail index of Pareto-type distributions., , , and . Comput. Stat. Data Anal., 51 (12): 6252-6268 (2007)Support Vector Machines., and . Information science and statistics Springer, (2008)