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Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models., , , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 935-943. PMLR, (2019)A spatio-temporal approach to collaborative filtering., , и . RecSys, стр. 13-20. ACM, (2009)Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain., , , , , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 1550-1559. PMLR, (2017)Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2445-2453. JMLR.org, (2016)Robust Principal Component Analysis with Side Information., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2291-2299. JMLR.org, (2016)PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification., , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 3069-3077. JMLR.org, (2016)Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition., , , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 1514-1522. PMLR, (2017)Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons., , , , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 1907-1916. JMLR.org, (2015)Learning low-rank kernel matrices., , и . ICML, том 148 из ACM International Conference Proceeding Series, стр. 505-512. ACM, (2006)Practical Experience in the Dangers of Heterogeneous Computing., , , , , , , , и . PARA, том 1184 из Lecture Notes in Computer Science, стр. 57-64. Springer, (1996)