Kyle Luh

1. Eigenvector Delocalization for Non-Hermitian Random Matrices and\n Applications
   2018/09/30 by Kyle Luh, Luh, Kyle, Sean O’Rourke +1 · 2 citations
   Mathematics · #15B52 #60B20 #Advanced Algebra and Geometry #Advanced Combinatorial Mathematics #FOS: Mathematics #Probability (math.PR) #Random Matrices and Applications
2. Robustness Implies Generalization via Data-Dependent Generalization Bounds
   2022/06/27 by Kenji Kawaguchi, Zhun Deng, Kawaguchi, Kenji +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Probability (math.PR)
3. Four Deviations Suffice for Rank 1 Matrices
   2019/01/20 by Rasmus Kyng, Kyle Luh, Kyng, Rasmus +3 · 2 citations
   Mathematics · #Random Matrices and Applications #Mathematical Approximation and Integration #Analytic Number Theory Research