high-dimensional statistics

Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 The Distribution of Ridgeless Least Squares Interpolators JMLR 2026 Universality of high-dimensional scaling limits of stochastic gradient descent (extended abstract) COLT 2026 A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs AISTATS 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025 Gaussian Mean Testing under Truncation AISTATS 2025 Large Covariance Matrix Estimation With Nonnegative Correlations AISTATS 2025 On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025 Outlier-Robust Linear System Identification Under Heavy-Tailed Noise L4DC 2025 Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings AISTATS 2025 Dimension-free Structured Covariance Estimation COLT 2024 Improved algorithm and bounds for successive projection ICLR 2024 Improved Hardness Results for Learning Intersections of Halfspaces COLT 2024 Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024 A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 Bootstrap in High Dimension with Low Computation ICML 2023 Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach NeurIPS 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Distributed Sparse Regression via Penalization JMLR 2023 Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023