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UID:pretalx-juliacon-2022-DTHTBC@pretalx.com
DTSTART:20220729T124000Z
DTEND:20220729T125000Z
DESCRIPTION:We present a Julia package for differentiating through function
 s that are defined implicitly. It can be used to compute derivatives for a
  wide array of "black box" procedures\, from optimization algorithms to fi
 xed point iterations or systems of nonlinear equations.\nSince it mostly r
 elies on defining custom chain rules\, our code is lightweight and integra
 tes nicely with Julia's automatic differentiation and machine learning eco
 system.
DTSTAMP:20260308T032051Z
LOCATION:Blue
SUMMARY:ImplicitDifferentiation.jl: differentiating implicit functions - Mo
 hamed Tarek\, Guillaume Dalle
URL:https://pretalx.com/juliacon-2022/talk/DTHTBC/
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