Showing 1–15 of 15 results
/ Date/ Name
Oct 15, 2025Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing ApproachJun 28, 2024Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy ConstraintsJul 17, 2020Perturbation Bounds for (Nearly) Orthogonally Decomposable TensorsJun 18, 2023The Gromov-Wasserstein distance between spheresApr 3, 2018Approximate lumpability for Markovian agent-based models using local symmetriesOct 26, 2023Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers (extended version)Jul 20, 2021On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed ErrorsApr 30, 2021Exact Detection Thresholds and Minimax Optimality of Chatterjee's Correlation CoefficientMay 12, 2025Certified Data Removal Under High-dimensional SettingsSep 29, 2025On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and AlgorithmsFeb 13, 2024Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional SettingsJan 5, 2025Transfer learning via Regularized Linear Discriminant AnalysisMar 31, 2023Large Dimensional Independent Component Analysis: Statistical Optimality and Computational TractabilityMay 28, 2024Tensor Methods in High Dimensional Data Analysis: Opportunities and ChallengesJul 16, 2025Newfluence: Boosting Model interpretability and Understanding in High Dimensions