elastic net

A novel hybrid approach for positive-valued DAG learning CLeaR 2026 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023 A Comparison of Hamming Errors of Representative Variable Selection Methods ICLR 2022 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022 Provably tuning the ElasticNet across instances NeurIPS 2022 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices COLT 2020 Curvature-Exploiting Acceleration of Elastic Net Computations ICML 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Using Benson’s Algorithm for Regularization Parameter Tracking AAAI 2019 Accelerating Cross-Validation in Multinomial Logistic Regression with ℓ_1-Regularization JMLR 2018 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 CoCoA: A General Framework for Communication-Efficient Distributed Optimization JMLR 2018 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018 Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017 Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016 On Semi-Supervised Linear Regression in Covariate Shift Problems JMLR 2015 Elastic Net Constraints for Shape Matching ICCV 2013 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Convex envelopes of complexity controlling penalties: the case against premature envelopment AISTATS 2011 Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011