2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2024
A variational Bayes approach to inference for low-dimensional parameters in high-dimensional linear regression
Ismaël Castillo, Alice L'Huillier, Kolyan Ray +1
We propose a scalable variational Bayes method for statistical inference for a single or pre-specified low-dimensional subset of the coordinates of a high-dimensional parameter in…
math.ST2023★ 2 cited
Semiparametric inference using fractional posteriors
Alice L'Huillier, Luke Travis, Ismaël Castillo +1
We establish a general Bernstein--von Mises theorem for approximately linear semiparametric functionals of fractional posterior distributions based on nonparametric priors. This is…