2024
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
ICML 2024poster
We study the trajectory of iterations and the convergence rates of the Expectation-Maximization (EM) algorithm for two-component Mixed Linear Regression (2MLR). The fundamental goal of MLR is to learn the regression models from unlabeled observations. The EM algorithm finds extensive applications in…