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Precise expressions for random projections: Low-rank approximation and randomized Newton., , , и . NeurIPS, (2020)LocalNewton: Reducing Communication Bottleneck for Distributed Learning., , , , , и . CoRR, (2021)Bayesian experimental design using regularized determinantal point processes., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3197-3207. PMLR, (2020)Tail bounds for volume sampled linear regression., , и . CoRR, (2018)HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks., , , и . CoRR, (2024)Exact expressions for double descent and implicit regularization via surrogate random design., , и . NeurIPS, (2020)Unbiased estimates for linear regression via volume sampling., и . NIPS, стр. 3084-3093. (2017)Optimal Embedding Dimension for Sparse Subspace Embeddings., , , и . STOC, стр. 1106-1117. ACM, (2024)Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition., и . SIAM J. Math. Data Sci., 6 (1): 127-153 (марта 2024)Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning., и . CoRR, (2024)