An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices von Jaroslaw Blasiok, Kyle Luh, Patrick Lopatto, Jake Marcinek, Shravas Rao

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COMMUNITY DETECTION USING SPECTRAL CLUSTERING ON SPARSE GEOSOCIAL DATA von VAN GENNIP, YVES, HUNTER, BLAKE, AHN, RAYMOND, ELLIOTT, PETER, LUH, KYLE, HALVORSON, MEGAN, REID, SHANNON, VALASIK, MATTHEW, WO, JAMES, TITA, GEORGE E., BERTOZZI, ANDREA L., BRANTINGHAM, P. JEFFREY

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Large-Deviation Bounds for Sampling without Replacement von Luh, Kyle, Pippenger, Nicholas

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A nonuniform Littlewood–Offord inequality for all norms von Luh, Kyle, Xiang, David

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Eigenvector delocalization for non‐Hermitian random matrices and applications von Luh, Kyle, O'Rourke, Sean

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Four deviations suffice for rank 1 matrices von Kyng, Rasmus, Luh, Kyle, Song, Zhao

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Tail bounds for gaps between eigenvalues of sparse random matrices von Lopatto, Patrick, Luh, Kyle

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How Fast Do Quantum Walks Mix? von Chakraborty, Shantanav, Luh, Kyle, Roland, Jérémie

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Optimal threshold for a random graph to be 2-universal von Ferber, Asaf, Kronenberg, Gal, Luh, Kyle

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Some new results in random matrices over finite fields von Luh, Kyle, Meehan, Sean, Nguyen, Hoi H.

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Resilience of the rank of random matrices von Ferber, Asaf, Luh, Kyle, McKinley, Gweneth

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Eigenvectors and controllability of non-Hermitian random matrices and directed graphs von Luh, Kyle, O’Rourke, Sean

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On the counting problem in inverse Littlewood–Offord theory von Ferber, Asaf, Jain, Vishesh, Luh, Kyle, Samotij, Wojciech

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Dictionary Learning With Few Samples and Matrix Concentration von Luh, Kyle, Van Vu

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Embedding large graphs into a random graph von Ferber, Asaf, Luh, Kyle, Nguyen, Oanh

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Circular law for random block band matrices with genuinely sublinear bandwidth von Jain, Vishesh, Jana, Indrajit, Luh, Kyle, O’Rourke, Sean

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Analog quantum algorithms for the mixing of Markov chains von Chakraborty, Shantanav, Luh, Kyle, Roland, Jérémie

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Packing Loose Hamilton Cycles von FERBER, ASAF, LUH, KYLE, MONTEALEGRE, DANIEL, NGUYEN, OANH

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A nonuniform Littlewood-Offord inequality for all norms von Luh, Kyle, Xiang, David

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Eigenvectors and controllability of non-Hermitian random matrices and directed graphs von Luh, Kyle, O'Rourke, Sean

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