Sotirios Sabanis

Orcid: 0000-0002-3991-362X

According to our database1, Sotirios Sabanis authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A strongly monotonic polygonal Euler scheme.
J. Complex., February, 2024

2023
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms.
SIAM J. Math. Data Sci., June, 2023

Optimising portfolio diversification and dimensionality.
J. Glob. Optim., 2023

On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates.
CoRR, 2023

Taming under isoperimetry.
CoRR, 2023

Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case.
CoRR, 2023

2022
Statistical Finite Elements via Langevin Dynamics.
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

Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks.
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
Asymptotic Analysis of the LMS Algorithm with Momentum.
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


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