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20182026
most citedThe Wasserstein space of stochastic processes

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

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Showing 2024Show all

7 papers · 1 filter

math.OC2024

Entropic adapted Wasserstein distance on Gaussians

Beatrice Acciaio, Songyan Hou, Gudmund Pammer

The adapted Wasserstein distance is a metric for quantifying distributional uncertainty and assessing the sensitivity of stochastic optimization problems on time series data. A com…

math.PR2024

The Gradient Flow of the Bass Functional in Martingale Optimal Transport

Julio Backhoff-Veraguas, Gudmund Pammer, Walter Schachermayer

Given and , probability measures on in convex order, a Bass martingale is arguably the most natural martingale starting with law and finishing with law …

math.PR2024

Change of numeraire for weak martingale transport

Mathias Beiglböck, Gudmund Pammer, Lorenz Riess

Change of numeraire is a classical tool in mathematical finance. Campi-Laachir-Martini established its applicability to martingale optimal transport. We note that the results of Ca…

cs.LG2024

Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces

Anastasis Kratsios, A. Martina Neuman, Gudmund Pammer

Machine learning models with inputs in a Euclidean space , when implemented on digital computers, generalize, and their generalization gap converges to at a rate…

cs.LG2024

Estimating Barycenters of Distributions with Neural Optimal Transport

Alexander Kolesov, Petr Mokrov, Igor Udovichenko +4

Given a collection of probability measures, a practitioner sometimes needs to find an "average" distribution which adequately aggregates reference distributions. A theoretically ap…

math.PR2024

Multicausal transport: barycenters and dynamic matching

Beatrice Acciaio, Daniel Kršek, Gudmund Pammer

We introduce a multivariate version of causal transport, which we name multicausal transport, involving several filtered processes among which causality constraints are imposed. Su…

math.PR2024

General duality and dual attainment for adapted transport

Daniel Kršek, Gudmund Pammer

We investigate duality and existence of dual optimizers for several adapted optimal transport problems under minimal assumptions. This includes the causal and bicausal transport, t…