2 papers
stat.ML2023
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…
cs.LG2022
Unsupervised representation learning with recognition-parametrised probabilistic models
William I. Walker, Hugo Soulat, Changmin Yu +1
We introduce a new approach to probabilistic unsupervised learning based on the recognition-parametrised model (RPM): a normalised semi-parametric hypothesis class for joint distri…