group lasso

Heterogeneous Sufficient Dimension Reduction and Subspace Clustering ICML 2025 skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025 Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024 The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024 Approximate Post-Selective Inference for Regression with the Group LASSO JMLR 2023 Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs NeurIPS 2023 Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing NeurIPS 2023 Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023 Chunk Dynamic Updating for Group Lasso with ODEs AAAI 2022 Functional Linear Regression with Mixed Predictors JMLR 2022 Manifold Coordinates with Physical Meaning JMLR 2022 A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition WACV 2021 Learning to Actively Reduce Memory Requirements for Robot Control Tasks L4DC 2021 Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders JMLR 2021 Pruning Neural Machine Translation for Speed Using Group Lasso EMNLP 2021 Smooth Bilevel Programming for Sparse Regularization NeurIPS 2021 A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study IJCAI 2020 Asymptotic Risk of Bézier Simplex Fitting AAAI 2020 Community-Based Group Graphical Lasso JMLR 2020 Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning Interspeech 2020 High Dimensional Forecasting via Interpretable Vector Autoregression JMLR 2020 Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020 First order expansion of convex regularized estimators NeurIPS 2019 Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning IJCAI 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019