Laplace approximations in inference Lightweight uncertainties, especially for heavy neural nets 2021-07-28 – 2022-09-06
Overparameterization in large models Improper learning, benign overfitting, double descent 2018-04-04 – 2022-05-27
Dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11
Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23