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Can M. Le
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Concentration and regularization of random graphs
CM Le, E Levina, R Vershynin
Random Structures & Algorithms 51 (3), 538-561, 2017
1862017
Estimating the number of communities in networks by spectral methods
CM Le, E Levina
Electronic Journal of Statistics 16 (1), 3315-3342, 2022
114*2022
Sparse random graphs: regularization and concentration of the laplacian
CM Le, E Levina, R Vershynin
arXiv preprint arXiv:1502.03049, 2015
612015
On subspace-hypercyclic operators
C Le
Proceedings of the American Mathematical Society 139 (8), 2847-2852, 2011
512011
Optimization via low-rank approximation for community detection in networks
CM Le, E Levina, R Vershynin
482016
Estimating a network from multiple noisy realizations
CM Le, K Levin, E Levina
452018
Concentration of random graphs and application to community detection
CM Le, E Levina, R Vershynin
Proceedings of the International Congress of Mathematicians, Rio de Janeiro …, 2018
312018
Linear regression and its inference on noisy network-linked data
CM Le, T Li
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
232022
Edge sampling using local network information
CM Le
Journal of Machine Learning Research 22 (88), 1-29, 2021
52021
Network estimation by mixing: Adaptivity and more
T Li, CM Le
Journal of the American Statistical Association, 1-16, 2023
42023
Comment: Ridge regression and regularization of large matrices
CM Le, K Levin, PJ Bickel, E Levina
Technometrics 62 (4), 443-446, 2020
42020
Determining the Number of Communities in Sparse and Imbalanced Settings
Z Shao, CM Le
arXiv preprint arXiv:2406.04423, 2024
2024
Parametric Bootstrap on Networks with Non-Exchangeable Nodes
Z Shao, CM Le
arXiv preprint arXiv:2402.01866, 2024
2024
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes
X Li, CM Le
arXiv preprint arXiv:2301.04771, 2023
2023
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