Tag: transcendental

Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations arXiv:2602.03889v1 Announce Type: new Abstract: Finite mixture models are widely used for unsupervised learning, but maximum likelihood estimation via EM suffers from degeneracy as components collapse. We introduce transcendental regularization, a penalized likelihood framework with analytic barrier functions that prevent degeneracy while maintaining asymptotic efficiency. The…