Local Linear Convergence of ISTA and FISTA on the LASSO Problem
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Abstract (arXiv)
We establish local linear convergence bounds for the ISTA and FISTA iterations on the model LASSO problem. We show that FISTA can be viewed as an accelerated ISTA process. Using a spectral analysis, we show that, when close enough to the solution, both iterations converge linearly, but FISTA slows down compared to ISTA, making it advantageous to switch to ISTA toward the end of the iteration processs. We illustrate the results with some synthetic numerical examples.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jan 2015.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 1; 2025: 2.
8 papers.
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- 2025Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance4 Sep 2025
- 2025Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation2 Jul 2025
- 2024Plug-and-Play Algorithm Convergence Analysis From The Standpoint of Stochastic Differential Equation22 Apr 2024
- 2023A statistical perspective on algorithm unrolling models for inverse problems10 Nov 2023
- 2023Reverse engineering adversarial attacks with fingerprints from adversarial examples31 Jan 2023
- 2022Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach11 Feb 2022
- 2021Improved sparse PCA method for face and image recognition1 Dec 2021
- 2021Stable and Interpretable Unrolled Dictionary Learning31 May 2021