conftrace_

sparse solution

17 papers

Explore in graph

Co-occurring keywords

sparse optimization (246) coordinate descent (147) implicit regularization (93) momentum gradient descent (2) empirical loss minimization (2) linear regression (282) gradient descent (1144) feature selection (649) bayesian inference (1907) online learning (1777)

Papers

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
Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
How to Learn a Graph from Smooth Signals AISTATS 2016
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NIPS 2015
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Nearest Neighbor based Greedy Coordinate Descent NIPS 2011
Nonparametric prior for adaptive sparsity AISTATS 2010
Efficient Online and Batch Learning Using Forward Backward Splitting JMLR 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001