Loss-calibrated expectation propagation for approximate Bayesian decision-making

Michael J. Morais, Jonathan W. Pillow

Approximate Bayesian inference methods provide a powerful suite of tools for finding approximations to intractable posterior distributions. However, machine learning applications t…