Sliced Wasserstein Distance for Learning Gaussian Mixture Models

Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann

Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algori…