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An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization., , and . CoRR, (2020)DC programming and DCA for sparse Fisher linear discriminant analysis., and . Neural Comput. Appl., 28 (9): 2809-2822 (2017)Block Bregman Majorization Minimization with Extrapolation., , , , and . SIAM J. Math. Data Sci., 4 (1): 1-25 (2022)Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression., , and . IJCAI, page 1369-1375. ijcai.org, (2018)Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression., , , and . CoRR, (2019)Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3394-3403. PMLR, (2017)A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization., , , and . CoRR, (2018)DCA based algorithms for learning with sparsity in high dimensional setting and stochastical learning. (Algorithmes basés sur la programmation DC et DCA pour l'apprentissage avec la parcimonie et l'apprentissage stochastique en grande dimension).. University of Lorraine, Nancy, France, (2016)SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience., , and . CoRR, (2021)DC programming and DCA for sparse optimal scoring problem., and . Neurocomputing, (2016)