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Iteratively Reweighted Least Squares for Basis Pursuit with Global
  Linear Convergence Rate
v1v2v3 (latest)

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

Neural Information Processing Systems (NeurIPS), 2020
22 December 2020
C. Kümmerle
C. M. Verdun
Dominik Stöger
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
Zhengyi Guo
Jiatu Li
Wenpin Tang
D. Yao
DiffMMedIm
296
0
0
04 Sep 2025
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
Gilad Lerman
Kang Li
Tyler Maunu
Teng Zhang
240
3
0
25 Jun 2025
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe
C. M. Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
UQCV
344
4
0
18 Jul 2024
Versatile Time-Frequency Representations Realized by Convex Penalty on
  Magnitude Spectrogram
Versatile Time-Frequency Representations Realized by Convex Penalty on Magnitude SpectrogramIEEE Signal Processing Letters (IEEE SPL), 2023
Keidai Arai
Koki Yamada
Kohei Yatabe
237
3
0
03 Aug 2023
Recovering Simultaneously Structured Data via Non-Convex Iteratively
  Reweighted Least Squares
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least SquaresNeural Information Processing Systems (NeurIPS), 2023
C. Kümmerle
J. Maly
337
3
0
08 Jun 2023
Flag Aggregator: Scalable Distributed Training under Failures and
  Augmented Losses using Convex Optimization
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex OptimizationInternational Conference on Learning Representations (ICLR), 2023
Hamidreza Almasi
Harshit Mishra
Balajee Vamanan
Sathya Ravi
FedML
267
0
0
12 Feb 2023
Introducing the Huber mechanism for differentially private low-rank
  matrix completion
Introducing the Huber mechanism for differentially private low-rank matrix completion
R. Gowtham
Gokularam M
Thulasi Tholeti
Sheetal Kalyani
175
0
0
16 Jun 2022
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