lasso regression

Semi-Analytic Resampling in Lasso JMLR 2019 Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems AISTATS 2018 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018 Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure NSDI 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018 On Tight Bounds for the Lasso JMLR 2018 The Well-Tempered Lasso ICML 2018 Approximate Steepest Coordinate Descent ICML 2017 Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction NeurIPS 2017 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016 On the Consistency of Feature Selection With Lasso for Non-linear Targets ICML 2016 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs NeurIPS 2015 LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NeurIPS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013