Lectures related to Distribution Estimation

Related lectures (32)

Introduces the Bayes estimator, explaining its definition, application in quadratic cost scenarios, and importance in probabilistic reasoning.

Explores implicit generative models, covering topics like method of moments, kernel choice, and robustness of estimators.