Fitting Deep Gaussian Process via Hamiltonian Monte Carlo

How well does Deep Gaussian process modeling quantify the uncertainty in your signal

Advanced machine learning (ML) techniques nowadays can answer pretty sophisticated questions derived from your data. Unfortunately, due to the “black-boxiness” of their nature, it is difficult to assess how correct those answers are. It might be fine if you are trying to find pictures of cats in your family album. But in my line of work, processing medical data, it is borderline unacceptable, …

ai clinical research gaussian-process hamiltonian monte carlo machine learning process thoughts-and-theory