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Convex Perturbations for Scalable Semidefinite Programming., , и . AISTATS, том 5 из JMLR Proceedings, стр. 296-303. JMLR.org, (2009)Rank Aggregation and Prediction with Item Features., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 748-756. PMLR, (2017)PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent., , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 2370-2379. JMLR.org, (2015)A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models., , , , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 2418-2426. JMLR.org, (2015)Computationally Efficient Nyström Approximation using Fast Transforms., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2655-2663. JMLR.org, (2016)Metric and Kernel Learning Using a Linear Transformation., , , и . J. Mach. Learn. Res., (2012)EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval., , , , , и . CoRR, (2023)Automatic Engineering of Long Prompts., , , и . CoRR, (2023)Robust Training in High Dimensions via Block Coordinate Geometric Median Descent., , , , , и . CoRR, (2021)Fast coordinate descent methods with variable selection for non-negative matrix factorization., и . KDD, стр. 1064-1072. ACM, (2011)