group lasso

Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization Interspeech 2018 Bilevel learning of the Group Lasso structure NeurIPS 2018 Compact Personalized Models for Neural Machine Translation EMNLP 2018 Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018 Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018 Learning Intrinsic Sparse Structures within Long Short-Term Memory ICLR 2018 Orthogonal Matching Pursuit for Text Classification EMNLP 2018 Adaptive Class Preserving Representation for Image Classification CVPR 2017 Learning Local Dependence In Ordered Data JMLR 2017 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 Joint Structural Estimation of Multiple Graphical Models JMLR 2016 Modality and Component Aware Feature Fusion For RGB-D Scene Classification CVPR 2016 Representational Similarity Learning with Application to Brain Networks ICML 2016 Selective inference for group-sparse linear models NeurIPS 2016 Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs NeurIPS 2015 Fixation Bank: Learning to Reweight Fixation Candidates CVPR 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Network Granger Causality with Inherent Grouping Structure JMLR 2015 Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014 Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013