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nu-support vector machine as conditional value-at-risk minimization., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1056-1063. ACM, (2008)Using financial risk measures for analyzing generalization performance of machine learning models., and . Neural Networks, (2014)Minimizing loss probability bounds for portfolio selection., and . Eur. J. Oper. Res., 217 (2): 371-380 (2012)Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4537-4545. PMLR, (2019)Construction Methods of the Nearest Positive System., and . IEEE Control. Syst. Lett., 4 (1): 97-102 (2020)Convex Fairness Constrained Model Using Causal Effect Estimators., and . WWW (Companion Volume), page 723-732. ACM / IW3C2, (2020)DC Algorithm for Extended Robust Support Vector Machine., , and . Neural Comput., 29 (5): 1406-1438 (2017)Convex hull pricing for demand response in electricity markets., , and . SmartGridComm, page 151-156. IEEE, (2013)Memory-efficient large-scale linear support vector machine., , and . ICMV, volume 9445 of SPIE Proceedings, page 944527. SPIE, (2014)Robust Cost Sensitive Support Vector Machine., and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)