Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

Yu Wang, Jie Ding, Jonathan H. Huggins

Tuning algorithms such as stochastic gradient descent (SGD) and stochastic gradient Langevin dynamics (SGLD) for approximate sampling and uncertainty quantification remains challen…