Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate

22 December 2020

Papers citing "Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate"

5 / 5 papers shown

Title
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 27 1 0 18 Jul 2024
Versatile Time-Frequency Representations Realized by Convex Penalty on Magnitude Spectrogram Keidai Arai Koki Yamada Kohei Yatabe 11 1 0 03 Aug 2023
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares C. Kümmerle J. Maly 25 1 0 08 Jun 2023
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization Hamidreza Almasi Harshit Mishra Balajee Vamanan Sathya Ravi FedML 22 0 0 12 Feb 2023
Introducing the Huber mechanism for differentially private low-rank matrix completion R. Gowtham Gokularam M Thulasi Tholeti Sheetal Kalyani 23 0 0 16 Jun 2022