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Adjoint Differentiation for generic matrix functions

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  • Andrei Goloubentsev
  • Dmitri Goloubentsev
  • Evgeny Lakshtanov

Abstract

We derive a formula for the adjoint $\overline{A}$ of a square-matrix operation of the form $C=f(A)$, where $f$ is holomorphic in the neighborhood of each eigenvalue. We then apply the formula to derive closed-form expressions in particular cases of interest such as the case when we have a spectral decomposition $A=UDU^{-1}$, the spectrum cut-off $C=A_+$ and the Nearest Correlation Matrix routine. Finally, we explain how to simplify the computation of adjoints for regularized linear regression coefficients.

Suggested Citation

  • Andrei Goloubentsev & Dmitri Goloubentsev & Evgeny Lakshtanov, 2021. "Adjoint Differentiation for generic matrix functions," Papers 2109.04913, arXiv.org.
  • Handle: RePEc:arx:papers:2109.04913
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    File URL: http://arxiv.org/pdf/2109.04913
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