sparse solution

Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025 Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024 Learning Optimal Feedback Operators and their Sparse Polynomial Approximations JMLR 2023 The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023 Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets ALT 2022 Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022 Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NeurIPS 2017 Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017 How to Learn a Graph from Smooth Signals AISTATS 2016 Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NeurIPS 2015 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Nonparametric prior for adaptive sparsity AISTATS 2010 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Efficient Online and Batch Learning Using Forward Backward Splitting JMLR 2009 Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007 Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NeurIPS 2006 Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001