Jun 12, 2026 (Ethan Marquez).
Optimization problems with orthogonality constraints arise throughout machine learning, including dimensionality reduction, clustering, and representation learning. These problems require the... Continue
Jun 9, 2026 (Kai Liu).
Matrix factorization is a fundamental tool in data mining and machine learning, with applications in clustering, topic modeling, recommender systems,... Continue
May 7, 2023 (Yifan Kang).
“Fast iterative shrinkage-thresholding algorithm”(FISTA) is a proximal gradient method that aims to solve convex optimization problems of the form: \[\min_x... Continue