CPSC_V 440 - T2B

Advanced machine learning techniques focusing on probabilistic models. Deep learning and differentiable programming, exponential families and Bayesian inference, probabilistic graphical models and other generative models, Monte Carlo and variational inference methods. [3-0-1] Prerequisite: Either CPSC_V 340 or both (a) AI_V 240 and (b) one of STAT_V 251, ECON_V 325, ECON_V 327, MATH_V 302, STAT_V 302, MATH_V 318.