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20202026
most citedTaming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms

5 citations · 5 across the 9 of their papers we have counts for

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math.ST2025

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients

Iosif Lytras, Sotirios Sabanis, Ying Zhang

Motivated by applications in deep learning, where the global Lipschitz continuity condition is often not satisfied, we examine the problem of sampling from distributions with super…