50 citations · 59 across the 7 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.CO2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael, Thomas Keefe, Naomi Giertych +1
The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers. This ecosystem encompasses a range of loss fun…
math.ST2021★ 1 cited
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property
Iain Carmichael
Structured sparsity is an important part of the modern statistical toolkit. We say a set of model parameters has block diagonal sparsity up to permutations if its elements can be v…