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high-dimensional regression

142 papers

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Co-occurring keywords

sparse regression (175) feature selection (649) variable selection (146) linear regression (282) high-dimensional statistics (145) sparse optimization (246) high-dimensional datum (158) distributed learning (563) convex optimization (1321) model selection (456)

Papers

Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NIPS 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control NIPS 2023
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees JMLR 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022
Generalized Sparse Additive Models JMLR 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022
Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Scalable Spike-and-Slab ICML 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NIPS 2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NIPS 2022
Variational Inference in high-dimensional linear regression JMLR 2022
Functional Linear Regression with Mixed Predictors JMLR 2022
On the Double Descent of Random Features Models Trained with SGD NIPS 2022
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models JMLR 2021
A Precise Performance Analysis of Support Vector Regression ICML 2021
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints JMLR 2021
Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021
Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors JMLR 2021
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021