Concise complexity analyses for trust region methods. - Frank E. Curtis; Zachary Lubberts; Daniel P. Robinson (Optim. Lett., 2018)

Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes. - Zachary Lubberts; Avanti Athreya; Youngser Park; Carey E. Priebe (CoRR, 2021)

Mixed-membership community detection via line graph curvature. - Yu Tian; Zachary Lubberts; Melanie Weber 001 (NeurReps, 2022)

Multivariate tight wavelet frames with few generators and high vanishing moments. - Youngmi Hur; Zachary Lubberts; Kasso A. Okoudjou (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence. - Joshua Agterberg; Zachary Lubberts; Carey E. Priebe (IEEE Trans. Inf. Theory, 2022)

Curvature-based Clustering on Graphs. - Yu Tian; Zachary Lubberts; Melanie Weber 001 (CoRR, 2023)

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference. - Avanti Athreya; Zachary Lubberts; Carey E. Priebe; Youngser Park; Minh Tang; Vince Lyzinski; Michael J. Kane; Bryan W. Lewis (J. Comput. Graph. Stat., 2023)

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror. - Tianyi Chen; Youngser Park; Ali Saad-Eldin; Zachary Lubberts; Avanti Athreya; Benjamin D. Pedigo; Joshua T. Vogelstein; Francesca Puppo; Gabriel A. Silva; Alysson R. Muotri; Weiwei Yang 004; Christopher M. White; et al. (Appl. Netw. Sci., 2023)