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debiased lasso

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high-dimensional regression (4) high-dimensional inference (3) single-index model (2) confidence interval (2) sparse regression (2) distributed learning (2) statistical inference (2) design matrix (1) variable screening (1) multiplier bootstrap (1)

Papers

A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021 High Dimensional Inference in Partially Linear Models AISTATS 2019 Communication-efficient Sparse Regression JMLR 2017 Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity NeurIPS 2016