high-dimensional regression

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024 Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024 A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control NeurIPS 2023 Efficient Learning of Minimax Risk Classifiers in High Dimensions UAI 2023 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 High-dimensional Contextual Bandit Problem without Sparsity NeurIPS 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 On Single-Index Models beyond Gaussian Data NeurIPS 2023 Optimal Sparse Recovery with Decision Stumps AAAI 2023 Stepdown SLOPE for Controlled Feature Selection AAAI 2023 Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NeurIPS 2023 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NeurIPS 2022 Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees JMLR 2022 Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Functional Linear Regression with Mixed Predictors JMLR 2022 Generalized Sparse Additive Models JMLR 2022 High-dimensional Additive Gaussian Processes under Monotonicity Constraints NeurIPS 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022 Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022 On the Double Descent of Random Features Models Trained with SGD NeurIPS 2022 Scalable Spike-and-Slab ICML 2022