Jeroen Berrevoets

According to our database, Jeroen Berrevoets authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Technical Report: Facilitating the Adoption of Causal Inference Methods Through LLM-Empowered Co-Pilot.

Jeroen Berrevoets, Julianna Piskorz, Robert Davis, Harry Amad, James Weatherall, Mihaela van der Schaar

CoRR, August, 2025

Using representation balancing to learn conditional-average dose responses from clustered data.

Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke

Trans. Mach. Learn. Res., 2025

Active Feature Acquisition for Personalised Treatment Assignment.

Julianna Piskorz, Nicolás Astorga, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Differentiable Causal Structure Learning with Identifiability by NOTIME.

Jeroen Berrevoets, Jakob Raymaekers, Mihaela van der Schaar, Tim Verdonck, Ruicong Yao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

Found. Trends Signal Process., 2024

Optimizing Treatment Allocation in the Presence of Interference.

Daan Caljon, Jente Van Belle, Jeroen Berrevoets, Wouter Verbeke

CoRR, 2024

Machine Learning for Health (ML4H) 2024.

Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang

Proceedings of the Machine Learning for Health, 2024

DynamITE: Optimal time-sensitive organ offers using ITE.

Alessandro Marchese, Hans de Ferrante, Jeroen Berrevoets, Sam Verboven

Proceedings of the Machine Learning for Health, 2024

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference.

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DAGnosis: Localized Identification of Data Inconsistencies using Structures.

Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

HydaLearn.

Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke

Appl. Intell., March, 2023

NOFLITE: Learning to Predict Individual Treatment Effect Distributions.

Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke

Trans. Mach. Learn. Res., 2023

Learning continuous-valued treatment effects through representation balancing.

Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke

CoRR, 2023

Causal Deep Learning.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2023

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems.

Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Representations without Compositional Assumptions.

Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

Differentiable and Transportable Structure Learning.

Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure.

Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

To Impute or not to Impute? Missing Data in Treatment Effect Estimation.

Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Navigating causal deep learning.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2022

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects.

Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar

CoRR, 2022

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects.

Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Why you should stop predicting customer churn and start using uplift models.

Floris Devriendt, Jeroen Berrevoets, Wouter Verbeke

Inf. Sci., 2021

Autoencoders for strategic decision support.

Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke

Decis. Support Syst., 2021

Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time.

Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar

CoRR, 2021

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks.

Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis.

Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks.

Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke

CoRR, 2020

The foundations of cost-sensitive causal classification.

Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado

CoRR, 2020

OrganITE: Optimal transplant donor organ offering using an individual treatment effect.

Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Optimising Individual-Treatment-Effect Using Bandits.

Jeroen Berrevoets, Sam Verboven, Wouter Verbeke

CoRR, 2019

Causal Simulations for Uplift Modeling.

Jeroen Berrevoets, Wouter Verbeke

CoRR, 2019