332 citations · 1.3k across the 44 of their papers we have counts for
39 papers · 1 filter
Is the regression -test doubly robust?
Lucy Xia, Oliver Y. Feng, Yang Feng +2
We study the robustness of the -test in random design linear models, and reach a somewhat nuanced conclusion. On the positive side, one of our main results is that the size of t…
Adaptive confidence intervals with missing data
Tianyi Ma, Kabir A. Verchand, Chao Gao +1
We consider the construction of confidence intervals for population means when observations are subject to missingness. To accommodate more general missingness mechanisms than miss…
Algorithmic stability via ensembling
Rina Foygel Barber, Richard J. Samworth
Algorithmic stability refers to the property of an algorithm being insensitive to perturbations of the input data, where the type of perturbation may vary depending on the setting.…
Learning the score under shape constraints
Rebecca M. Lewis, Oliver Y. Feng, Henry W. J. Reeve +2
Score estimation has recently emerged as a key modern statistical challenge, due to its pivotal role in generative modelling via diffusion models. Moreover, it is an essential ingr…
Nonparametric inference under shape constraints: past, present and future
Richard J. Samworth
We survey the field of nonparametric inference under shape constraints, providing a historical overview and a perspective on its current state. An outlook and some open problems of…
False discovery rate control with compound p-values
Rina Foygel Barber, Richard J Samworth
In the setting of multiple testing, compound p-values generalize p-values by asking for superuniformity to hold only \emph{on average} across all true nulls. We study the propertie…