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"...the backwards case ... basically comes down to performing approximate eigenvalue decomposition..." Hmm, not in general. (I've been working on various prob
by mturmon 12y ago
"...the backwards case ... basically comes down to performing approximate eigenvalue decomposition..."
Hmm, not in general. (I've been working on various problem-specific versions of the backwards case for most of my career.)
- psb217 12y agoFYI, some folks (see: https://spectrallearning.github.io/icml2014/ https://spectrallearning.github.io/icml2014/) are certainly working hard to apply eigenvalue decompositions (well, more like generalized SVDs) to any inference problems they can get their convexity-loving hands on. Disclaimer: my lab mate has been organizing these workshops for the past couple of years and I'm currently procrastinating from preparing a presentation on this material for a reading group later this week, so I've presently got mixed feelings towards it.