Ying Zhang
Orcid: 0000-0001-8198-3392Affiliations:
- University of Edinburgh, School of Mathematics, UK
According to our database1,
Ying Zhang
authored at least 8 papers
between 2019 and 2025.
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Bibliography
2025
kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients.
CoRR, June, 2025
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates.
Trans. Mach. Learn. Res., 2025
2022
Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient.
CoRR, 2022
Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting.
CoRR, 2022
2021
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case.
SIAM J. Math. Data Sci., 2021
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function.
CoRR, 2021
2019
On explicit order 1.5 approximations with varying coefficients: The case of super-linear diffusion coefficients.
J. Complex., 2019
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization.
CoRR, 2019