Showing 1–19 of 19 results
/ Date/ Name
Feb 8, 2022Entrywise Recovery Guarantees for Sparse PCA via Sparsistent AlgorithmsAug 4, 2023Distributional Theory and Statistical Inference for Linear Functions of Eigenvectors with Small EigengapsMar 31, 2020On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph ModelsMay 27, 2021Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and DependenceMay 10, 2023An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and InferenceDec 16, 2022Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation BoundMay 6, 2019Vertex Nomination, Consistent Estimation, and Adversarial ModificationOct 8, 2024Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and ApplicationsDec 9, 2022Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic BlockmodelsJun 25, 2025A High-Dimensional Statistical Theory for Convex and Nonconvex Matrix SensingDec 17, 2020Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizesMar 30, 2020Spectral graph clustering via the Expectation-Solution algorithmAug 21, 2020Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to ConnectomicsNov 11, 2025Concentration bounds on response-based vector embeddings of black-box generative modelsNov 7, 2019Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in ConnectomicsNov 5, 2024A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous NetworksOct 1, 2024LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual LearningMay 4, 2023Semisupervised regression in latent structure networks on unknown manifoldsApr 26, 2025Nonconvex Linear System Identification with Minimal State Representation