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IAQF Lecture, March 2

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Join Ryan as he lectures on Deeply Learning Derivatives in NYC at the IAQF. His talk explores the performance of deep neural networks in approximating pricing functions in the context of three major approaches currently used to accelerate pricing: GPUs, adjoint algorithmic differentiation and analytic function approximation. Examples will be drawn from a range of asset classes, and will demonstrate...
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