Deep BSDE Solver on Bounded Domains Part I: General Loss Rate

Fuente: arXiv
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Main Author: Würschmidt, Maximilian
Format: Preprint
Published: 2025
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author Würschmidt, Maximilian
author_facet Würschmidt, Maximilian
contents We consider a ramification of the deep BSDE loss functional designed to apply for BSDEs on bounded domains, i.e. with random (unbounded) time horizons. We derive a general convergence rate of the loss functional; precisely for a class of (randomly) weighted modifications of the functional. The rate is expressed in terms of the underlying discrete-time stepsize and a universal approximation distance.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14215
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Deep BSDE Solver on Bounded Domains Part I: General Loss Rate
Würschmidt, Maximilian
Probability
Numerical Analysis
58J65, 65N75, 65N15
G.1.8; G.3
We consider a ramification of the deep BSDE loss functional designed to apply for BSDEs on bounded domains, i.e. with random (unbounded) time horizons. We derive a general convergence rate of the loss functional; precisely for a class of (randomly) weighted modifications of the functional. The rate is expressed in terms of the underlying discrete-time stepsize and a universal approximation distance.
title Deep BSDE Solver on Bounded Domains Part I: General Loss Rate
topic Probability
Numerical Analysis
58J65, 65N75, 65N15
G.1.8; G.3
url https://arxiv.org/abs/2508.14215