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PROMPT: Parallel Iterative Algorithm for $\ell_{p}$ norm linear regression via Majorization Minimization with an application to semi-supervised graph learning
The state-of-the-art algorithms are iterative but suffer from convergence issues, i. e., they either diverge for p>3 or the convergence to the optimal solution is sensitive to the initialization of the algorithm.
TELET: A Monotonic Algorithm to Design Large Dimensional Equiangular Tight Frames for Applications in Compressed Sensing
Subsequently, we use the derived frames to construct optimized sensing matrix for compressed sensing systems.
PIANO: A Fast Parallel Iterative Algorithm for Multinomial and Sparse Multinomial Logistic Regression
Multinomial Logistic Regression is a well-studied tool for classification and has been widely used in fields like image processing, computer vision and, bioinformatics, to name a few.
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