NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (9)

math.PR2019

Eigenvector Delocalization for Non-Hermitian Random Matrices and Applications

Kyle Luh, Sean O'Rourke

math.CO2019

On the counting problem in inverse Littlewood--Offord theory

Asaf Ferber, Vishesh Jain, Kyle Luh +1

math.PR2018

Sparse Random Matrices have Simple Spectrum

Kyle Luh, Van Vu

math.CO2017

Embedding large graphs into a random graph

Asaf Ferber, Kyle Luh, Oanh Nguyen

math.CO2016

Packing Loose Hamilton Cycles

Asaf Ferber, Kyle Luh, Daniel Montealegre +1

stat.AP2012

Community detection using spectral clustering on sparse geosocial data

Yves van Gennip, Blake Hunter, Raymond Ahn +9

math.PR2015

Dictionary Learning with Few Samples and Matrix Concentration

Kyle Luh, Van Vu

math.CO2016

Optimal Threshold for a Random Graph to be 2-Universal

Asaf Ferber, Gal Kronenberg, Kyle Luh

math.PR2017

Complex Random Matrices have no Real Eigenvalues

Kyle Luh