Sotirios Sabanis
Orcid: 0000-0002-3991-362X
According to our database1,
Sotirios Sabanis
authored at least 17 papers
between 2016 and 2024.
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Bibliography
2024
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks.
J. Mach. Learn. Res., 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization.
J. Mach. Learn. Res., 2024
Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case.
J. Complex., 2024
2023
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms.
SIAM J. Math. Data Sci., June, 2023
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates.
CoRR, 2023
2022
SIAM/ASA J. Uncertain. Quantification, 2022
Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient.
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
2020
Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms.
CoRR, 2020
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
2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2016
On Tamed Euler Approximations of SDEs Driven by Lévy Noise with Applications to Delay Equations.
SIAM J. Numer. Anal., 2016