Sabanis, Sotirios

5 publications

TMLR 2025 On Diffusion-Based Generative Models and Their Error Bounds: The Log-Concave Case with Full Convergence Estimates Stefano Bruno, Ying Zhang, Dongyoung Lim, Omer Deniz Akyildiz, Sotirios Sabanis

TMLR 2025 The Performance of the Unadjusted Langevin Algorithm Without Smoothness Assumptions Tim Johnston, Iosif Lytras, Nikolaos Makras, Sotirios Sabanis

TMLR 2025 Wasserstein Convergence of Score-Based Generative Models Under Semiconvexity and Discontinuous Gradients Stefano Bruno, Sotirios Sabanis

JMLR 2024 Nonasymptotic Analysis of Stochastic Gradient Hamiltonian Monte Carlo Under Local Conditions for Nonconvex Optimization O. Deniz Akyildiz, Sotirios Sabanis

JMLR 2024 Polygonal Unadjusted Langevin Algorithms: Creating Stable and Efficient Adaptive Algorithms for Neural Networks Dong-Young Lim, Sotirios Sabanis