Wishart-prior matrix generalized linear model conjecture
Wishart-prior matrix generalized linear model conjecture
Let be the free entropy of the Gaussian-equivalent matrix generalized linear model, with , and let , , , and have the meanings in the model. Define
where , , and . The free entropy of a matrix generalized linear model. Assuming the limit defining is well-defined,
This extends the generalized-linear-model free-entropy formula to the dependent Wishart prior; the source identifies technical difficulties in establishing it rigorously, so it remains conjectural.
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Sources & referencesView supporting material
Primary source
Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala and Lenka Zdeborová, “Bayes-optimal learning of an extensive-width neural network from quadratically many samples”, arXiv:2408.03733 (2024).
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