activity
20182026
most citedThe Wasserstein space of stochastic processes

3 citations · 15 across the 36 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

q-fin.PR2026

Stochastic Knothe-Rosenblatt: Light-speed Calibration of Stochastic Local Volatility Models

Mathias Beiglböck, Manuel Hasenbichler, Gudmund Pammer

European option smiles determine the risk-neutral marginal laws of an asset, but not their intertemporal coupling, which is decisive for many applications. The Bass martingale cons…

math.PR2026

A weak transport approach to the Schrödinger-Bass bridge

Manuel Hasenbichler, Gudmund Pammer, Stefan Thonhauser

We study the Schrödinger-Bass problem, a one-parameter family of semimartingale optimal transport problems indexed by , whose limiting regimes interpolate between the classica…

math.OC2026

Implicit Regularization of Large Neural Networks via Mean-Field Formulation

Beatrice Acciaio, Jakob Heiss, Gudmund Pammer +1

We propose a mathematical framework to explain implicit regularization from early stopping during the training of overparametrized neural networks. In the mean-field limit, the par…

math.PR2026

The geometry of the adapted Bures--Wasserstein space

Beatrice Acciaio, Daniel Bartl, Anne Grass +2

The adapted Bures--Wasserstein space consists of Gaussian processes endowed with the adapted Wasserstein distance. It can be viewed as the analogue of the classical Bures--Wasserst…

q-fin.RM2026

Dynamic reinsurance via martingale transport

Beatrice Acciaio, Brandon Garcia Flores, Antonio Marini +1

We formulate a dynamic reinsurance problem in which the insurer seeks to satisfy prescribed terminal moment or risk-based constraints while minimizing the -norm of the ceded r…