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math.PR2026

Uniform-in-time quantitative fluctuations of large scale interacting particle systems

Solesne Bourguin, Konstantinos Spiliopoulos

We study fluctuations of mean-field interacting particle systems around their McKean--Vlasov limit. Our main result provides a uniform-in-time quantitative central limit theorem fo…

math.PR2026

Gaussian approximation on the Skorokhod space via Malliavin calculus and regularization

Solesne Bourguin, Simon Campese

We introduce a carré du champ operator for Banach-valued random elements, taking values in the projective tensor product, and use it to control the bounded Lipschitz distance betw…

math.PR2026

Quantitative Fluctuation Analysis for Continuous-Time Stochastic Gradient Descent via Malliavin Calculus

Solesne Bourguin, Shivam S. Dhama, Konstantinos Spiliopoulos

In this paper, we establish a Quantitative Central Limit Theorem ({\sc qclt}) for the Stochastic Gradient Descent in Continuous Time ({\sc sgdct}) algorithm, whose parameter update…

math.PR2026

A Caveat on Metrizing Convergence in Distribution on Hilbert Spaces

Federico Bassetti, Solesne Bourguin, Simon Campese +1

We consider Sobolev-type distances on probability measures over separable Hilbert spaces involving the Schatten- norms, which include as special cases a distance first introduce…

math.PR2025

Non-central limit of densities of some functionals of Gaussian processes

Solesne Bourguin, Thanh Dang, Yaozhong Hu

We establish the convergence of the densities of a sequence of nonlinear functionals of an underlying Gaussian process to the density of a Gamma distribution. The key idea of our w…

math.PR2024

Quantitative fluctuation analysis of multiscale diffusion systems via Malliavin calculus

Solesne Bourguin, Konstantinos Spiliopoulos

We study fluctuations of small noise multiscale diffusions around their homogenized deterministic limit. We derive quantitative rates of convergence of the fluctuation processes to…