This course is part of the USC Graduate Biostatistics Program and is designed for second-year and beyond students interested in designing and implementing computational inferential tools for research.
optimization automatic-differentiation gradient-descent bayesian-inference conjugate-gradient variational-inference hamiltonian-monte-carlo gibbs-sampling numerical-stability jax elbo evidence-lower-bound jit-compilation exponential-families natural-gradient-descent statistical-divergences
-
Updated
Apr 14, 2026