Ideas:
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Differential Machine Learning is an extension of supervised learning with differential labels = derivatives of labels wrt inputs. In financial risk management where training sets are simulated, differentials are efficiently obtained with automatic differentiation (AAD). Differential ML provides a massive improvement in function approximation for pricing and risk in finance, and in all situations where high quality first order derivatives wrt to training inputs are available.
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