4 citations · 5 across the 2 of their papers we have counts for
3 papers
Gradients do grow on trees: a linear-time -dimensional gradient for statistical phylogenetics
Xiang Ji, Zhenyu Zhang, Andrew Holbrook +5
Calculation of the log-likelihood stands as the computational bottleneck for many statistical phylogenetic algorithms. Even worse is its gradient evaluation, often used to target r…
The nonparametric Fisher geometry and the chi-square process density prior
Andrew Holbrook, Shiwei Lan, Jeffrey Streets +1
It is well known that the Fisher information induces a Riemannian geometry on parametric families of probability density functions. Following recent work, we consider the nonparame…
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction
Andrew Holbrook, Alexander Vandenberg-Rodes, Babak Shahbaba
We reframe linear dimensionality reduction as a problem of Bayesian inference on matrix manifolds. This natural paradigm extends the Bayesian framework to dimensionality reduction…