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Compressive mining: fast and optimal data mining in the compressed domain., , и . VLDB J., 24 (1): 1-24 (2015)Rank-deficient quadratic-form maximization over M-phase alphabet: Polynomial-complexity solvability and algorithmic developments., и . ICASSP, стр. 3856-3859. IEEE, (2011)Low-rank regularization and solution uniqueness in over-parameterized matrix sensing., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 930-940. PMLR, (2020)Compressing Gradient Optimizers via Count-Sketches., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5946-5955. PMLR, (2019)Learning Sparse Additive Models with Interactions in High Dimensions., , , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 111-120. JMLR.org, (2016)Bipartite Correlation Clustering: Maximizing Agreements., , , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 121-129. JMLR.org, (2016)Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions., , , и . Artif. Intell., (2021)FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints., , , и . CoRR, (2019)How Much Pre-training Is Enough to Discover a Good Subnetwork?, , , , и . Trans. Mach. Learn. Res., (2024)Multi-Way Compressed Sensing for Sparse Low-Rank Tensors., и . IEEE Signal Process. Lett., 19 (11): 757-760 (2012)