3 citations · 5 across the 2 of their papers we have counts for
3 papers
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang, Liam Hodgkinson, Michael W. Mahoney
While fat-tailed densities commonly arise as posterior and marginal distributions in robust models and scale mixtures, they present challenges when Gaussian-based variational infer…
Exact expressions for double descent and implicit regularization via surrogate random design
Michał Dereziński, Feynman Liang, Michael W. Mahoney
Double descent refers to the phase transition that is exhibited by the generalization error of unregularized learning models when varying the ratio between the number of parameters…
Bayesian experimental design using regularized determinantal point processes
Michał Dereziński, Feynman Liang, Michael W. Mahoney
In experimental design, we are given vectors in dimensions, and our goal is to select of them to perform expensive measurements, e.g., to obtain labels/responses,…