Maxime Vandegar

Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference

We revisit g-modeling empirical Bayes in the absence of a tractable likelihood function, as is typical in scientific domains relying on computer simulations. We investigate how the empirical Bayesian can make use of neural density estimators first to use all noise-corrupted observations to estimate…