602 citations · 2.9k across the 103 of their papers we have counts for
4 papers · 2 filters
Kernel Single Proxy Control for Deterministic Confounding
Liyuan Xu, Arthur Gretton
We consider the problem of causal effect estimation with an unobserved confounder, where we observe a single proxy variable that is associated with the confounder. Although it has…
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier, Zhu Li, Arthur Gretton +1
Many recent theoretical works on \emph{meta-learning} aim to achieve guarantees in leveraging similar representational structures from related tasks towards simplifying a target ta…
Prediction under Latent Subgroup Shifts with High-Dimensional Observations
William I. Walker, Arthur Gretton, Maneesh Sahani
We introduce a new approach to prediction in graphical models with latent-shift adaptation, i.e., where source and target environments differ in the distribution of an unobserved c…
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs, Antonin Schrab, Arthur Gretton
We propose novel statistics which maximise the power of a two-sample test based on the Maximum Mean Discrepancy (MMD), by adapting over the set of kernels used in defining it. For…