2 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
Policy learning under constraint: Maximizing a primary outcome while controlling an adverse event
Laura Fuentes-Vicente, Mathieu Even, Gaelle Dormion +2
A medical policy aims to support decision-making by mapping patient characteristics to individualized treatment recommendations. Standard approaches typically optimize a single out…
Quantile Super Learning for independent and online settings with application to solar power forecasting
Herbert Susmann, Antoine Chambaz
Estimating quantiles of an outcome conditional on covariates is of fundamental interest in statistics with broad application in probabilistic prediction and forecasting. We propose…
Positivity-free Policy Learning with Observational Data
Pan Zhao, Antoine Chambaz, Julie Josse +1
Policy learning utilizing observational data is pivotal across various domains, with the objective of learning the optimal treatment assignment policy while adhering to specific co…