4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024
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…
cs.LG2022★ 4 cited
Powershap: A Power-full Shapley Feature Selection Method
Jarne Verhaeghe, Jeroen Van Der Donckt, Femke Ongenae +1
Feature selection is a crucial step in developing robust and powerful machine learning models. Feature selection techniques can be divided into two categories: filter and wrapper m…