One-step differentiation of iterative algorithms

Neural Information Processing Systems 

For iterative algorithms, implicit differentiation alleviates this issue but requires custom implementation of Jacobian evaluation. In this paper, we study one-step differentiation, also known as Jacobian-free backpropagation, a method as easy as automatic differentiation and as efficient as implicit differentiation for fast algorithms (e.g., superlinear

Similar Docs  Excel Report  more

TitleSimilaritySource
None found