Showing math.OCShow all
2 papers · 1 filter
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
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…