Jeroen Berrevoets

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

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Publications

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. 18 (3) (2024)
Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR (2024)
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS (2024)
Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR (2024)
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR (2024)
Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS (2023)
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
Learning Representations without Compositional Assumptions. ICML (2023)
Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR (2023)
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke
HydaLearn. Appl. Intell. 53 (5) (2023)
Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
Differentiable and Transportable Structure Learning. ICML (2023)
Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
Learning continuous-valued treatment effects through representation balancing. CoRR (2023)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Causal Deep Learning. CoRR (2023)
Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke
NOFLITE: Learning to Predict Individual Treatment Effect Distributions. Trans. Mach. Learn. Res. 2023 (2023)
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
Learning Representations without Compositional Assumptions. CoRR (2023)
Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS (2023)
Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
Differentiable and Transportable Structure Learning. CoRR (2022)
Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. AISTATS (2022)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Navigating causal deep learning. CoRR (2022)
Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR (2022)
Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR (2022)
Floris Devriendt, Jeroen Berrevoets, Wouter Verbeke
Why you should stop predicting customer churn and start using uplift models. Inf. Sci. 548 (2021)
Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML (2021)
Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time. CoRR (2021)
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR (2021)
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
Autoencoders for strategic decision support. Decis. Support Syst. 150 (2021)
Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. CoRR (2021)
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS (2021)
Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado
The foundations of cost-sensitive causal classification. CoRR (2020)
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks. CoRR (2020)
Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar
OrganITE: Optimal transplant donor organ offering using an individual treatment effect. NeurIPS (2020)
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
Autoencoders for strategic decision support. CoRR (2020)
Jeroen Berrevoets, Wouter Verbeke
Causal Simulations for Uplift Modeling. CoRR (2019)
Jeroen Berrevoets, Sam Verboven, Wouter Verbeke
Optimising Individual-Treatment-Effect Using Bandits. CoRR (2019)