Characterizing Heterogeneous Rates in Finite Mixture Estimation via Partial Optimal Transport

Parameter estimation in finite mixture models can exhibit highly heterogeneous convergence behavior: locally isolated components may be estimated substantially faster than groups of competing components. Existing analyses based on Wasserstein distances typically characterize only the worst-case rate