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[D] Natural Gradient Descent/ Hessian/ Fisher papers

Hi all,

I am reading about Natural gradient descent. Usually I find it quite helpful if I can get to read quite a bunch of papers concerning the topic, I am figuring out good papers online, but if someone from the community can point me to some good papers, it would be great.

Can some one point me to a list of good natural gradient descent papers which would address the following:

  1. Starting from the S Amari’s paper to the recent papers.
  2. Natural gradient descent fisher approximation papers
  3. Natural gradient descent papers which highlight benefits in preventing saddle points/ achieving local minima.
  4. Hessian matrix approximation papers
  5. Other good papers covering techniques like KFAC, hessian matrices, fisher matrices, their approximations, NSGD

Thanks !!

submitted by /u/WillingCucumber
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.