DECOrrelated feature space partitioning for distributed sparse regression

8 February 2016

Papers citing "DECOrrelated feature space partitioning for distributed sparse regression"

9 / 9 papers shown

Title
Efficient Computing Algorithm for High Dimensional Sparse Support Vector Machine Jiawei Wen 18 1 0 25 Dec 2023
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data Shuo-chieh Huang R. Tsay 21 0 0 07 Jul 2023
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables Xu Han Ethan X. Fang C. Tang 26 0 0 16 Jun 2021
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning Dimitris Bertsimas V. Digalakis 22 10 0 11 Jun 2020
High-dimensional variable selection via low-dimensional adaptive learning C. Staerk M. Kateri I. Ntzoufras 14 7 0 17 Apr 2019
Paired-move multiple-try stochastic search for Bayesian variable selection Xu Chen S. Qamar S. Tokdar 19 2 0 29 Nov 2016
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data Jialei Wang J. Lee M. Mahdavi Mladen Kolar Nathan Srebro 13 50 0 10 Oct 2016
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 10 85 0 10 Oct 2016
Scalable Bayesian variable selection and model averaging under block orthogonal design O. Papaspiliopoulos D. Rossell 14 0 0 12 Jun 2016