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ORCIDJeroen Berrevoets
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2020 – today
- 2024
[j5]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): 200-309 (2024)- [c11]Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS 2024: 1864-1872 - [c10]Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets
, Zhaozhi Qian, Mihaela van der Schaar:
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR 2024 - [i18]Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR abs/2402.17599 (2024) - [i17]Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR abs/2403.10766 (2024) - [i16]Daan Caljon, Jente Van Belle, Jeroen Berrevoets, Wouter Verbeke:
Optimizing Treatment Allocation in the Presence of Interference. CoRR abs/2410.00075 (2024) - 2023
- [j4]Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke:
HydaLearn. Appl. Intell. 53(5): 5808-5822 (2023) - [j3]Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke:
NOFLITE: Learning to Predict Individual Treatment Effect Distributions. Trans. Mach. Learn. Res. 2023 (2023) - [c9]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: 3568-3590 - [c8]Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar:
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR 2023 - [c7]Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Differentiable and Transportable Structure Learning. ICML 2023: 2206-2233 - [c6]Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
Learning Representations without Compositional Assumptions. ICML 2023: 21388-21403 - [c5]Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar:
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS 2023 - [i15]Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Causal Deep Learning. CoRR abs/2303.02186 (2023) - [i14]Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
Learning Representations without Compositional Assumptions. CoRR abs/2305.19726 (2023) - [i13]Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke:
Learning continuous-valued treatment effects through representation balancing. CoRR abs/2309.03731 (2023) - 2022
- [c4]Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar:
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. AISTATS 2022: 4158-4177 - [i12]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 abs/2202.02096 (2022) - [i11]Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar:
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR abs/2202.12891 (2022) - [i10]Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Differentiable and Transportable Structure Learning. CoRR abs/2206.06354 (2022) - [i9]Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Navigating causal deep learning. CoRR abs/2212.00911 (2022) - 2021
- [j2]Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke:
Autoencoders for strategic decision support. Decis. Support Syst. 150: 113422 (2021) - [j1]Floris Devriendt, Jeroen Berrevoets, Wouter Verbeke:
Why you should stop predicting customer churn and start using uplift models. Inf. Sci. 548: 497-515 (2021) - [c3]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: 792-802 - [c2]Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar:
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS 2021: 22221-22233 - [i8]Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar:
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. CoRR abs/2108.03039 (2021) - [i7]Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar:
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR abs/2110.12884 (2021) - [i6]Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar:
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time. CoRR abs/2112.03811 (2021) - 2020
- [c1]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 - [i5]Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke:
Autoencoders for strategic decision support. CoRR abs/2005.01075 (2020) - [i4]Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado:
The foundations of cost-sensitive causal classification. CoRR abs/2007.12582 (2020) - [i3]Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke:
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks. CoRR abs/2008.11643 (2020)
2010 – 2019
- 2019
- [i2]Jeroen Berrevoets, Wouter Verbeke:
Causal Simulations for Uplift Modeling. CoRR abs/1902.00287 (2019) - [i1]Jeroen Berrevoets, Sam Verboven, Wouter Verbeke:
Optimising Individual-Treatment-Effect Using Bandits. CoRR abs/1910.07265 (2019)
Coauthor Index
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last updated on 2024-11-06 21:36 CET by the dblp team
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