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Random Matrices: l1 Concentration and Dictionary Learning with Few Samples., and . FOCS, page 1409-1425. IEEE Computer Society, (2015)Matrix Perturbation: Davis-Kahan in the Infinity Norm., and . SODA, page 880-934. SIAM, (2024)Spectra of Lifted Ramanujan Graphs, , and . Advances in Mathematics, 227 (4): 1612--1645 (2011)A Simple SVD Algorithm for Finding Hidden Partitions.. Comb. Probab. Comput., 27 (1): 124-140 (2018)Optimal Subspace Perturbation Bounds under Gaussian Noise., , and . ISIT, page 2601-2606. IEEE, (2023)VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs., , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 291-301. Springer, (2021)Reaching a Consensus on Random Networks: The Power of Few, and . (2019)cite arxiv:1911.10279.A Short Proof of Kahn-Kalai Conjecture., and . Electron. J. Comb., (2024)Matrix perturbation bounds via contour bootstrapping., and . CoRR, (2024)Reaching a Consensus on Random Networks: The Power of Few., and . APPROX-RANDOM, volume 176 of LIPIcs, page 20:1-20:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)