structured sparsity

Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 Structured Sparsity and Generalization JMLR 2012 Structured Sparsity via Alternating Direction Methods JMLR 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NeurIPS 2011 Convex and Network Flow Optimization for Structured Sparsity JMLR 2011 Greedy Algorithms for Structurally Constrained High Dimensional Problems NeurIPS 2011 Learning with Structured Sparsity JMLR 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 Network Flow Algorithms for Structured Sparsity NeurIPS 2010 Structured Sparse Principal Component Analysis AISTATS 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010