OATML, Department of Computer Science, University of Oxford; Department of Computer Science, University of Oxford; Seminar for Statistics, Department of Mathematics, ETH Zurich; AOPP, Department of Physics, University of Oxford; Machine Learning and Causal Inference in Healthcare Lab, Technion – Israel Institute of Technology
Andrew Jesson, Alyson Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit
causal effect inference;hidden confounding;continuous intervention;climate;uncertainty;dose response;deep learning
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions