The Earth Mover's Distance is the Mallows Distance: Some Insights from Statistics. - Elizaveta Levina; Peter J. Bickel (ICCV, 2001)

Maximum Likelihood Estimation of Intrinsic Dimension. - Elizaveta Levina; Peter J. Bickel (NIPS, 2004)

Robust Target Localization From Binary Decisions in Wireless Sensor Networks. - Natallia Katenka; Elizaveta Levina; George Michailidis (Technometrics, 2008)

Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks. - Natallia Katenka; Elizaveta Levina; George Michailidis (IEEE Trans. Signal Process., 2008)

On Consistency of Community Detection in Networks - Yunpeng Zhao; Elizaveta Levina; Ji Zhu 001 (CoRR, 2011)

Fitting community models to large sparse networks - Aiyou Chen; Arash A. Amini; Peter J. Bickel; Elizaveta Levina (CoRR, 2012)

Sparse Ising Models with Covariates - Jie Cheng; Elizaveta Levina; Pei Wang; Ji Zhu 001 (CoRR, 2012)

Link prediction for partially observed networks - Yunpeng Zhao; Elizaveta Levina; Ji Zhu 001 (CoRR, 2013)

On semidefinite relaxations for the block model. - Arash A. Amini; Elizaveta Levina (CoRR, 2014)

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)

Community Detection in Networks with Node Features. - Yuan Zhang; Elizaveta Levina; Ji Zhu 001 (CoRR, 2015)

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

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

Link prediction for egocentrically sampled networks. - Yun-Jhong Wu; Elizaveta Levina; Ji Zhu 001 (CoRR, 2018)

Recovering low-rank structure from multiple networks with unknown edge distributions. - Keith D. Levin; Asad Lodhia; Elizaveta Levina (CoRR, 2019)

High-dimensional Gaussian graphical model for network-linked data. - Tianxi Li; Cheng Qian; Elizaveta Levina; Ji Zhu 001 (CoRR, 2019)

Overlapping community detection in networks via sparse spectral decomposition. - Jesús Arroyo 001; Elizaveta Levina (CoRR, 2020)

High-dimensional Gaussian graphical models on network-linked data. - Tianxi Li; Cheng Qian; Elizaveta Levina; Ji Zhu 001 (J. Mach. Learn. Res., 2020)

Detecting Overlapping Communities in Networks Using Spectral Methods. - Yuan Zhang; Elizaveta Levina; Ji Zhu 001 (SIAM J. Math. Data Sci., 2020)

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

Recovering shared structure from multiple networks with unknown edge distributions. - Keith D. Levin; Asad Lodhia; Elizaveta Levina (J. Mach. Learn. Res., 2022)

Fair Information Spread on Social Networks with Community Structure. - Octavio Mesner; Elizaveta Levina; Ji Zhu 001 (CoRR, 2023)

Link Prediction for Egocentrically Sampled Networks. - Tianxi Li; Yun-Jhong Wu; Elizaveta Levina; Ji Zhu 001 (J. Comput. Graph. Stat., 2023)

Community models for networks observed through edge nominations. - Tianxi Li; Elizaveta Levina; Ji Zhu 001 (J. Mach. Learn. Res., 2023)

General linear threshold models with application to influence maximization. - Alexander Kagan; Elizaveta Levina; Ji Zhu 001 (CoRR, 2024)