Variable Elimination, Sum Product Multivariate Gaussian Distribution, Kalman Filtering, Smoothing Hidden Markov Models, Forward Backward Algorithm Junction Trees
Module 3: Approximate Inference
Exponential Families, Variational Optimization View of Inference Message Passing revisited, Mean Field Variational Methods - I Variational Methods - II Sampling Methods Maximum A Posteriori (MAP)- I Maximum A Posteriori (MAP)- II Discriminative Inference Mixture Models - I Mixture Models - II
Module 4: Learning
Sparse Estimation Basics Convex Optimization Based Methods - I Convex Optimization Based Methods - II Greedy Methods