2025
Variational Learning Finds Flatter Solutions at the Edge of Stability
NeurIPS 2025spotlight
Variational Learning (VL) has recently gained popularity for training deep neural networks. Part of its empirical success can be explained by theories such as PAC-Bayes bounds, minimum description length and marginal likelihood, but little has been done to unravel the implicit regularization in play…