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cs.LG2026
Deep kernel hedging
Jean-Loup Dupret, Donatien Hainaut, Edouard Motte
We introduce a deep kernel hedging framework that combines the flexibility of deep learning with the structural inductive bias of kernel methods. The hedging functional is restrict…
cs.LG2025
Deep Learning for Continuous-Time Stochastic Control with Jumps
Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
In this paper, we introduce a model-based deep-learning approach to solve finite-horizon continuous-time stochastic control problems with jumps. We iteratively train two neural net…