Optimization via Low-rank Approximation, with Applications to Community Detection in Networks. - Can M. Le; Elizaveta Levina; Roman Vershynin (CoRR, 2014)

Estimating the number of communities in networks by spectral methods. - Can M. Le; Elizaveta Levina (CoRR, 2015)

Sparse random graphs: regularization and concentration of the Laplacian. - Can M. Le; Elizaveta Levina; Roman Vershynin (CoRR, 2015)

Concentration and regularization of random graphs. - Can M. Le; Roman Vershynin (CoRR, 2015)

Estimating Community Structure in Networks by Spectral Methods. - Can M. Le (2016)

Estimating a network from multiple noisy realizations. - Can M. Le; Elizaveta Levina (CoRR, 2017)

Edge sampling using network local information. - Can M. Le (CoRR, 2017)

Concentration and regularization of random graphs. - Can M. Le; Elizaveta Levina; Roman Vershynin (Random Struct. Algorithms, 2017)

Comment: Ridge Regression and Regularization of Large Matrices. - Can M. Le; Keith D. Levin; Peter J. Bickel; Elizaveta Levina (Technometrics, 2020)

Network Estimation by Mixing: Adaptivity and More. - Tianxi Li; Can M. Le (CoRR, 2021)

Edge Sampling Using Local Network Information. - Can M. Le (J. Mach. Learn. Res., 2021)

Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes. - Xuezhen Li; Can M. Le (CoRR, 2023)

Determining the Number of Communities in Sparse and Imbalanced Settings. - Zhixuan Shao; Can M. Le (CoRR, 2024)