Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent

Ruichong Zhang

The learning of Gaussian Mixture Models (also referred to simply as GMMs) plays an important role in machine learning. Known for their expressiveness and interpretability, Gaussian…