2 papers
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…
math.AP2024
Local well-posedness for the Schrödinger-KdV system in , II
Yingzhe Ban, Jie Chen, Ying Zhang
In this paper, we continue the study of the local well-posedness theory for the Schrödinger-KdV system in the Sobolev space . We show the local well-posednes…