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math.ST2025
Pseudo-Maximum Likelihood Theory for High-Dimensional Rank One Inference
Curtis Grant, Aukosh Jagannath, Justin Ko
We develop a pseudo-likelihood theory for rank one matrix estimation problems in the high dimensional limit. We prove a variational principle for the limiting pseudo-maximum likeli…
math.ST2025
Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions
Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang +1
We study the local geometry of empirical risks in high dimensions via the spectral theory of their Hessian and information matrices. We focus on settings where the data, $(Y_\ell)_…