Mean Field Inference, Machine Learning, Mfi, Python, Applied Machine Learning.
factorized distribution Q(X)=∏i​Qi​(Xi​), where Qi​(Xi​) are simpler, individual distributions over each variable Xi​. The goal is to find the Qi​ that best approximates the true distribution by minimizing the Kullback-Leibler (KL) divergence between P and Q: KL(Q∣∣P)=∑X​Q(X)logP(X)Q(X)​ By