Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference.

Vincent D. Zaballa Elliot E. Hui

Published in: CoRR (2023)

Keyphrases

stochastic gradient
grassmann manifold
experimental designs
bayesian networks
bayesian inference
optimal solution
worst case
nearest neighbor classifier
step size
stochastic gradient descent
machine learning
high dimensional