Prerequisite : Advanced Machine Learning (CS60073) OR Machine Learning Foundations and Applications (AI42001) OR Statistical Foundations of AI and ML (AI61004) And Statistical Methods
Taught by : Adway Mitra
Teaching Assistents :
Subhajit Datta, Prince Raj, Anubhav Prasad
Review of probabilistic models, non-deep generative models for discrete and continuous
variables, Probabilistic Graphical Models, Parameter Estimation, Exact and Approximate
Inference in Graphical Models, Bayesian Nonparametrics, Deep Generative models, Sequential
Neural Models, normalized flows, score-based models, differential equation based models