Sparse Bayesian Learning via Stepwise Regression

11 June 2021

Papers citing "Sparse Bayesian Learning via Stepwise Regression"

12 / 12 papers shown

Title
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection Sebastian Ament Carla P. Gomes 21 6 0 06 Jun 2021
Blended Matching Pursuit Cyrille W. Combettes Sebastian Pokutta 44 5 0 28 Apr 2019
On Matching Pursuit and Coordinate Descent Francesco Locatello Anant Raj Sai Praneeth Karimireddy Gunnar Rätsch Bernhard Schölkopf Sebastian U. Stich Martin Jaggi 30 22 0 26 Mar 2018
From Bayesian Sparsity to Gated Recurrent Nets Hao He Bo Xin David Wipf BDL 36 36 0 09 Jun 2017
Forward-Backward Selection with Early Dropping Giorgos Borboudakis Ioannis Tsamardinos 128 97 0 30 May 2017
Restricted Strong Convexity Implies Weak Submodularity Ethan R. Elenberg Rajiv Khanna A. Dimakis S. Negahban 42 159 0 02 Dec 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 55 167 0 05 May 2016
A General Framework for Fast Stagewise Algorithms Ryan J. Tibshirani 59 51 0 25 Aug 2014
Forward - Backward Greedy Algorithms for Atomic Norm Regularization Nikhil S. Rao P. Shah Stephen J. Wright 49 90 0 23 Apr 2014
Joint k-step analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares C. Soussen Rémi Gribonval Jérôme Idier Cédric Herzet 71 101 0 02 Nov 2011
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise Z. Ben-Haim Yonina C. Eldar Michael Elad 134 255 0 26 Mar 2009
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 172 5,027 0 10 Nov 2007