Rabaey, Paloma

5 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

NeurIPSW 2024 From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding Henri Arno, Paloma Rabaey, Thomas Demeester

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

NeurIPSW 2022 Neural Bayesian Network Understudy Paloma Rabaey, Cedric De Boom, Thomas Demeester