4 papers · 1 filter
Proper Scoring Rules for Right-Censored Survival Data
Jef Jonkers, Glenn Van Wallendael, Luc Duchateau +1
Proper scoring rules provide a rigorous theoretical basis for the training and evaluation of probabilistic forecasts. However, in the presence of right censoring, the event time is…
Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra
Deressa Wodajo Deressa, Hannes Mareen, Peter Lambert +1
We present Generative Anchored Fields (GAF), a generative model that learns independent endpoint predictors, (noise) and (data), from any point on a linear bridge. Unlike e…
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Jef Jonkers, Jarne Verhaeghe, Glenn Van Wallendael +2
Generating probabilistic forecasts of potential outcomes and individual treatment effects (ITE) is essential for risk-aware decision-making in domains such as healthcare, policy, m…
Conformal Predictive Systems Under Covariate Shift
Jef Jonkers, Glenn Van Wallendael, Luc Duchateau +1
Conformal Predictive Systems (CPS) offer a versatile framework for constructing predictive distributions, allowing for calibrated inference and informative decision-making. However…