Jeroen Berrevoets

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Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteVerified email at ee.ucla.edu
Wouter VerbekeAssociate Professor of Data Science, KU Leuven, Faculty of Economics and BusinessVerified email at kuleuven.be
Sam VerbovenAssistant Professor, Vrije Universiteit BrusselVerified email at vub.be
Trent KyonoFacebook; University of California, Los AngelesVerified email at ucla.edu
James JordonResearch Assistant, The Alan Turing InstituteVerified email at turing.ac.uk
Zhaozhi QianDAMTP, University of CambridgeVerified email at cam.ac.uk
Boris van BreugelPhD candidate, University of CambridgeVerified email at cam.ac.uk
Ioana BicaResearch Scientist at DeepMindVerified email at google.com
Floris DevriendtVrije Universiteit BrusselVerified email at vub.ac.be
Alicia CurthPhD student, University of CambridgeVerified email at cam.ac.uk
Fergus ImrieUniversity of California, Los AngelesVerified email at ucla.edu
Tobias HattETH ZurichVerified email at ethz.ch
Ahmed M. AlaaAssistant Professor, UC Berkeley and UCSFVerified email at berkeley.edu
Diego OlayaVrije Universiteit BrusselVerified email at vub.be
Tennison LiuUniversity of CambridgeVerified email at cam.ac.uk
Bart BaesensFull professor, KU LeuvenVerified email at kuleuven.be
Eoin McKinneyUniversity of Cambridge, Department of MedicineVerified email at cam.ac.uk
Yao ZhangDepartment of Statistics, Stanford UniversityVerified email at stanford.edu
Vincent GinisVrije Universiteit Brussel / Harvard UniversityVerified email at seas.harvard.edu
Nabeel SeedatUniversity of Cambridge / Cornell University / University of the WitwatersrandVerified email at cam.ac.uk

Jeroen Berrevoets

University of Cambridge

Verified email at cam.ac.uk - Homepage

Machine Learning Causality


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Why you should stop predicting customer churn and start using uplift models F Devriendt, J Berrevoets, W Verbeke Information Sciences, 2021	60	2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks B van Breugel, T Kyono, J Berrevoets, M van der Schaar Neural Information Processing Systems (NeurIPS), 2021	33	2021
OrganITE: Optimal transplant donor organ offering using an individual treatment effect J Berrevoets, J Jordon, I Bica, A Gimson, M van der Schaar Neural Information Processing Systems (NeurIPS), 2020	27	2020
Combining observational and randomized data for estimating heterogeneous treatment effects T Hatt, J Berrevoets, A Curth, S Feuerriegel, M van der Schaar arXiv preprint arXiv:2202.12891, 2022	13	2022
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis J Berrevoets, A Alaa, Z Qian, J Jordon, AES Gimson, M Van Der Schaar International Conference on Machine Learning (ICML), 2021	12	2021
The foundations of cost-sensitive causal classification W Verbeke, D Olaya, J Berrevoets, S Verboven, S Maldonado arXiv preprint arXiv:2007.12582, 2020	9	2020
Autoencoders for strategic decision support S Verboven, J Berrevoets, C Wuytens, B Baesens, W Verbeke Decision Support Systems, 2020	7	2020
Optimising Individual-Treatment-Effect Using Bandits J Berrevoets, S Verboven, W Verbeke CausalML Workshop at Neural Information Processing Systems, 2019	6	2019
To Impute or not to Impute? Missing Data in Treatment Effect Estimation J Berrevoets, F Imrie, T Kyono, J Jordon, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2023	5	2023
Disentangled counterfactual recurrent networks for treatment effect inference over time J Berrevoets, A Curth, I Bica, E McKinney, M van der Schaar arXiv preprint arXiv:2112.03811, 2021	5	2021
HydaLearn: Highly Dynamic Task Weighting for Multitask Learning with Auxiliary Tasks S Verboven, MH Chaudhary, J Berrevoets, V Ginis, W Verbeke Applied Intelligence 53 (5), 5808-5822, 2023	4	2023
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects Y Zhang, J Berrevoets, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2022	4	2022
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure T Liu, Z Qian, J Berrevoets, M van der Schaar International Conference on Learning Representations (ICLR), 2023	3	2023
Causal Deep Learning J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar arXiv preprint arXiv:2303.02186, 2023	2	2023
Treatment effect optimisation in dynamic environments J Berrevoets, S Verboven, W Verbeke Journal of Causal Inference 10 (1), 106-122, 2022	2	2022
Causal Simulations for Uplift Modeling J Berrevoets, W Verbeke arXiv preprint arXiv:1902.00287, 2019	2	2019
Differentiable and Transportable Structure Learning J Berrevoets, N Seedat, F Imrie, M van der Schaar International Conference on Machine Learning (ICML), 2023	1	2023
Navigating causal deep learning J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar arXiv preprint arXiv:2212.00911, 2022	1	2022
Simulating Environments for Evaluating Scarce Resource Allocation Policies J Berrevoets, A Chan, D Jarrett, M van der Schaar		2023
Learning Representations without Compositional Assumptions T Liu, J Berrevoets, Z Qian, M van der Schaar International Conference on Machine Learning (ICML), 2023		2023

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