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ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance., , , , , , , , and . PARA, volume 1041 of Lecture Notes in Computer Science, page 95-106. Springer, (1995)CAT: Customized Adversarial Training for Improved Robustness., , , , and . CoRR, (2020)Information-theoretic metric learning, , , , and . Proceedings of the 24th international conference on Machine learning - ICML \textquotesingle07, ACM Press, (2007)Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection., , , , and . WWW (Companion Volume), page 593-602. ACM / IW3C2, (2020)Gradient Boosted Decision Trees for High Dimensional Sparse Output., , , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3182-3190. PMLR, (2017)Concept Decompositions for Large Sparse Text Data Using Clustering, and . Machine Learning, 42 (1/2): 143-175 (2001)Parallel matrix factorization for recommender systems., , , and . Knowl. Inf. Syst., 41 (3): 793-819 (2014)Clustering on the Unit Hypersphere using von Mises-Fisher Distributions., , , and . J. Mach. Learn. Res., (2005)Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification., , , , and . CIKM, page 3717-3726. ACM, (2021)Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data., , , and . SDM, page 114-125. SIAM, (2004)