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20222026
most citedHyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization

35 citations · 36 across the 3 of their papers we have counts for

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math.OC2024

Structured Regularization for Constrained Optimization on the SPD Manifold

Andrew Cheng, Melanie Weber

Matrix-valued optimization tasks, including those involving symmetric positive definite (SPD) matrices, arise in a wide range of applications in machine learning, data science and…

math.OC2024★ 1 cited

Disciplined Geodesically Convex Programming

Andrew Cheng, Vaibhav Dixit, Melanie Weber

Convex programming plays a fundamental role in machine learning, data science, and engineering. Testing convexity structure in nonlinear programs relies on verifying the convexity…