Sotirios Sabanis

32 papers Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval. EMNLP (Findings) Ying Li, Mengyu Wang, Miguel de Carvalho, Sotirios Sabanis, Tiejun Ma
2025	J	`jnl`	FinGEAR: Financial Mapping-Guided Enhanced Answer Retrieval. CoRR Ying Li, Mengyu Wang, Miguel de Carvalho, Sotirios Sabanis, Tiejun Ma
2025	J	`jnl`	Flatness-Aware Stochastic Gradient Langevin Dynamics. CoRR Stefano Bruno, Youngsik Hwang, Jaehyeon An, Sotirios Sabanis, Dong-Young Lim
2025	J	`jnl`	Langevin Dynamics Based Algorithm e-TH Math. Oper. Res. Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
2025	J	`jnl`	On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates. Trans. Mach. Learn. Res. Stefano Bruno, Ying Zhang, Dongyoung Lim, Ömer Deniz Akyildiz, Sotirios Sabanis
2025	—	`conf`	One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning. EMNLP (Findings) Mengyu Wang, Sotirios Sabanis, Miguel de Carvalho, Shay B. Cohen, Tiejun Ma
2025	J	`jnl`	One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning. CoRR Mengyu Wang, Sotirios Sabanis, Miguel de Carvalho, Shay B. Cohen, Tiejun Ma
2025	J	`jnl`	The Performance Of The Unadjusted Langevin Algorithm Without Smoothness Assumptions. Trans. Mach. Learn. Res. Tim Johnston, Iosif Lytras, Nikolaos Makras, Sotirios Sabanis
2025	J	`jnl`	Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients. CoRR Stefano Bruno, Sotirios Sabanis
2025	J	`jnl`	Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients. Trans. Mach. Learn. Res. Stefano Bruno, Sotirios Sabanis
2025	J	`jnl`	kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients. CoRR Iosif Lytras, Sotirios Sabanis, Ying Zhang
2024	J	`jnl`	A strongly monotonic polygonal Euler scheme. J. Complex. Tim Johnston, Sotirios Sabanis
2024	J	`jnl`	Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case. J. Complex. Tim Johnston, Iosif Lytras, Sotirios Sabanis
2024	J	`jnl`	Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization. J. Mach. Learn. Res. Ömer Deniz Akyildiz, Sotirios Sabanis
2024	J	`jnl`	Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. J. Mach. Learn. Res. Dong-Young Lim, Sotirios Sabanis
2023	J	`jnl`	Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case. CoRR Tim Johnston, Iosif Lytras, Sotirios Sabanis
2023	J	`jnl`	On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates. CoRR Stefano Bruno, Ying Zhang, Dong-Young Lim, Ömer Deniz Akyildiz, Sotirios Sabanis
2023	J	`jnl`	Optimising portfolio diversification and dimensionality. J. Glob. Optim. M. Barkhagen, Sergio García, Jacek Gondzio, Jörg Kalcsics, J. Kroeske, Sotirios Sabanis, A. Staal
2023	J	`jnl`	Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms. SIAM J. Math. Data Sci. Attila Lovas, Iosif Lytras, Miklós Rásonyi, Sotirios Sabanis
2023	J	`jnl`	Taming under isoperimetry. CoRR Iosif Lytras, Sotirios Sabanis
2022	J	`jnl`	Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient. CoRR Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
2022	J	`jnl`	Statistical Finite Elements via Langevin Dynamics. SIAM/ASA J. Uncertain. Quantification Ömer Deniz Akyildiz, Connor Duffin, Sotirios Sabanis, Mark Girolami
2021	J	`jnl`	A Strongly Monotonic Polygonal Euler Scheme. CoRR Tim Johnston, Sotirios Sabanis
2021	J	`jnl`	Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function. CoRR Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
2021	J	`jnl`	On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case. SIAM J. Math. Data Sci. Ngoc Huy Chau, Éric Moulines, Miklós Rásonyi, Sotirios Sabanis, Ying Zhang
2021	J	`jnl`	Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. CoRR Dong-Young Lim, Sotirios Sabanis
2021	J	`jnl`	Statistical Finite Elements via Langevin Dynamics. CoRR Ömer Deniz Akyildiz, Connor Duffin, Sotirios Sabanis, Mark Girolami
2020	J	`jnl`	Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms. CoRR Attila Lovas, Iosif Lytras, Miklós Rásonyi, Sotirios Sabanis
2019	J	`jnl`	Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. CoRR Ying Zhang, Ömer Deniz Akyildiz, Theo Damoulas, Sotirios Sabanis
2019	J	`jnl`	On explicit order 1.5 approximations with varying coefficients: The case of super-linear diffusion coefficients. J. Complex. Sotirios Sabanis, Ying Zhang
2018	—	`conf`	Asymptotic Analysis of the LMS Algorithm with Momentum. CDC László Gerencsér, Balázs Csanád Csáji, Sotirios Sabanis
2016	J	`jnl`	On Tamed Euler Approximations of SDEs Driven by Lévy Noise with Applications to Delay Equations. SIAM J. Numer. Anal. Konstantinos Dareiotis, Chaman Kumar, Sotirios Sabanis