48 citations · 131 across the 18 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
stat.ML2019
A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records
Alexis Bellot, Mihaela van der Schaar
Analyzing electronic health records (EHR) poses significant challenges because often few samples are available describing a patient's health and, when available, their information…
stat.ME2019
Kernel Hypothesis Testing with Set-valued Data
Alexis Bellot, Mihaela van der Schaar
We present a general framework for hypothesis testing on distributions of sets of individual examples. Sets may represent many common data sources such as groups of observations in…
stat.ML2019★ 6 cited
Lifelong Bayesian Optimization
Yao Zhang, James Jordon, Ahmed M. Alaa +1
Automatic Machine Learning (Auto-ML) systems tackle the problem of automating the design of prediction models or pipelines for data science. In this paper, we present Lifelong Baye…