[R] Google Proposes Efficient and Modular Implicit Differentiation for Optimization Problems

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[R] Google Proposes Efficient and Modular Implicit Differentiation for Optimization Problems


A research team from Google Research combines the benefits of implicit differentiation and autodiff and proposes a unified, efficient and modular approach for implicit differentiation of optimization problems.

Here is a quick read: Google Proposes Efficient and Modular Implicit Differentiation for Optimization Problems.

The paper Efficient and Modular Implicit Differentiation is on arXiv.

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