arXiv cs.LG
· Papers
Mixtures Closest to a Given Measure: A Semidefinite Programming Approach
arXiv:2509.22879v2 Announce Type: replace-cross Abstract: Mixture models, such as Gaussian mixture models, are widely used in machine learning to represent complex data distributions. A key challenge, especially in high-dimensional settings, is to determine the mixture order and estimate the mixture parameters. We stud