regularized regression

ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data AISTATS 2025 skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025 Data-driven bifurcation analysis via learning of homeomorphism L4DC 2024 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023 On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022 Partially adaptive regularized multiple regression analysis for estimating linear causal effects UAI 2022 Finite Sample System Identification: Optimal Rates and the Role of Regularization L4DC 2020 On Coresets for Regularized Regression ICML 2020 The Strong Screening Rule for SLOPE NeurIPS 2020 High-Dimensional Poisson Structural Equation Model Learning via ℓ_1-Regularized Regression JMLR 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016 Self Scaled Regularized Robust Regression CVPR 2015 Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection CVPR 2015 Estimating LASSO Risk and Noise Level NeurIPS 2013 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 Descent Methods for Tuning Parameter Refinement AISTATS 2010 Phase transitions for high-dimensional joint support recovery NeurIPS 2008 Robust Regression and Lasso NeurIPS 2008