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Sotirios Sabanis
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2020 – today
- 2024
- [j10]Tim Johnston, Sotirios Sabanis:
A strongly monotonic polygonal Euler scheme. J. Complex. 80: 101801 (2024) - [j9]Tim Johnston, Iosif Lytras, Sotirios Sabanis:
Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case. J. Complex. 85: 101873 (2024) - [j8]Dong-Young Lim, Sotirios Sabanis:
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. J. Mach. Learn. Res. 25: 53:1-53:52 (2024) - [j7]Ömer Deniz Akyildiz, Sotirios Sabanis:
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization. J. Mach. Learn. Res. 25: 113:1-113:34 (2024) - 2023
- [j6]M. Barkhagen, Sergio García
, Jacek Gondzio
Optimising portfolio diversification and dimensionality. J. Glob. Optim. 85(1): 185-234 (2023) - [j5]Attila Lovas, Iosif Lytras, Miklós Rásonyi, Sotirios Sabanis
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms. SIAM J. Math. Data Sci. 5(2): 323-345 (2023) - [i10]Tim Johnston, Iosif Lytras, Sotirios Sabanis:
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case. CoRR abs/2301.08039 (2023) - [i9]Iosif Lytras, Sotirios Sabanis:
Taming under isoperimetry. CoRR abs/2311.09003 (2023) - [i8]Stefano Bruno, Ying Zhang, Dong-Young Lim
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates. CoRR abs/2311.13584 (2023) - 2022
- [j4]Ömer Deniz Akyildiz, Connor Duffin
Statistical Finite Elements via Langevin Dynamics. SIAM/ASA J. Uncertain. Quantification 10(4): 1560-1585 (2022) - [i7]Dong-Young Lim
Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient. CoRR abs/2210.13193 (2022) - 2021
- [j3]Ngoc Huy Chau, Éric Moulines, Miklós Rásonyi
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case. SIAM J. Math. Data Sci. 3(3): 959-986 (2021) - [i6]Dong-Young Lim, Sotirios Sabanis:
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. CoRR abs/2105.13937 (2021) - [i5]Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function. CoRR abs/2107.08649 (2021) - [i4]Ömer Deniz Akyildiz, Connor Duffin, Sotirios Sabanis, Mark Girolami:
Statistical Finite Elements via Langevin Dynamics. CoRR abs/2110.11131 (2021) - [i3]Tim Johnston, Sotirios Sabanis:
A Strongly Monotonic Polygonal Euler Scheme. CoRR abs/2112.15596 (2021) - 2020
- [i2]Attila Lovas, Iosif Lytras, Miklós Rásonyi, Sotirios Sabanis
Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms. CoRR abs/2006.14514 (2020)
2010 – 2019
- 2019
- [j2]Sotirios Sabanis
On explicit order 1.5 approximations with varying coefficients: The case of super-linear diffusion coefficients. J. Complex. 50: 84-115 (2019) - [i1]Ying Zhang
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. CoRR abs/1910.02008 (2019) - 2018
- [c1]László Gerencsér, Balázs Csanád Csáji, Sotirios Sabanis
Asymptotic Analysis of the LMS Algorithm with Momentum. CDC 2018: 3062-3067 - 2016
- [j1]Konstantinos Dareiotis, Chaman Kumar
On Tamed Euler Approximations of SDEs Driven by Lévy Noise with Applications to Delay Equations. SIAM J. Numer. Anal. 54(3): 1840-1872 (2016)
Coauthor Index
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last updated on 2024-12-10 20:44 CET by the dblp team
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