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04/10/2023
On the strong stability of ergodic iterations
We revisit processes generated by iterated random functions driven by a ...
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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...
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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...
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11/11/2019
