Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex

Yufei Cui, Wuguannan Yao, Qiao Li +2

Estimating the predictive uncertainty of a Bayesian learning model is critical in various decision-making problems, e.g., reinforcement learning, detecting adversarial attack, self…