Vansteelandt, Stijn

4 publications

NeurIPS 2024 Debiasing Synthetic Data Generated by Deep Generative Models Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Thomas Demeester, Stijn Vansteelandt

JMLR 2024 On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression Oliver Dukes, Stijn Vansteelandt, David Whitney

UAI 2024 The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester

NeurIPSW 2023 Synthetic Data: Can We Trust Statistical Estimators? Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester