research
∙
04/10/2023
On the strong stability of ergodic iterations
We revisit processes generated by iterated random functions driven by a ...
research
∙
10/05/2022
Functional Central Limit Theorem and Strong Law of Large Numbers for Stochastic Gradient Langevin Dynamics
We study the mixing properties of an important optimization algorithm of...
research
∙
06/25/2020
Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms
Artificial neural networks (ANNs) are typically highly nonlinear systems...
research
∙
11/11/2019