Kangning Diao

Can Microcanonical Langevin Dynamics Leverage Mini-Batch Gradient Noise?

Scaling inference methods such as Markov chain Monte Carlo to high-dimensional models remains a central challenge in Bayesian deep learning. A promising recent proposal, microcanonical Langevin Monte Carlo, has shown state-of-the-art performance across a wide range of problems. However, its reliance…