Adaptive Stepsizing for Stochastic Gradient Langevin Dynamics in Bayesian Neural Networks
SA-SGLD introduces a novel adaptive stepsizing mechanism for Stochastic Gradient Langevin Dynamics, dynamically adjusting to local gradient norms to stabiliz...
Level: expert
By Rajit Rajpal, Benedict Leimkuhler, Yuanhao Jiang