Jeroen Berrevoets

41 papers A* 8A 5Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimizing treatment allocation in the presence of interference. Eur. J. Oper. Res. Daan Caljon, Jente Van Belle, Jeroen Berrevoets, Wouter Verbeke
2025	A	`conf`	Active Feature Acquisition for Personalised Treatment Assignment. AISTATS Julianna Piskorz, Nicolás Astorga, Jeroen Berrevoets, Mihaela van der Schaar
2025	A	`conf`	Differentiable Causal Structure Learning with Identifiability by NOTIME. AISTATS Jeroen Berrevoets, Jakob Raymaekers, Mihaela van der Schaar, Tim Verdonck, Ruicong Yao
2025	J	`jnl`	Technical Report: Facilitating the Adoption of Causal Inference Methods Through LLM-Empowered Co-Pilot. CoRR Jeroen Berrevoets, Julianna Piskorz, Robert Davis, Harry Amad, James Weatherall, Mihaela van der Schaar
2025	J	`jnl`	Using representation balancing to learn conditional-average dose responses from clustered data. Trans. Mach. Learn. Res. Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2024	A	`conf`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	—	`conf`	DynamITE: Optimal time-sensitive organ offers using ITE. ML4H@NeurIPS Alessandro Marchese, Hans de Ferrante, Jeroen Berrevoets, Sam Verboven
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS 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
2024	A*	`conf`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	Optimizing Treatment Allocation in the Presence of Interference. CoRR Daan Caljon, Jente Van Belle, Jeroen Berrevoets, Wouter Verbeke
2023	A*	`conf`	AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar
2023	J	`jnl`	Causal Deep Learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	Differentiable and Transportable Structure Learning. ICML Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
2023	J	`jnl`	HydaLearn. Appl. Intell. Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke
2023	A*	`conf`	Learning Representations without Compositional Assumptions. ICML Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Learning Representations without Compositional Assumptions. CoRR Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Learning continuous-valued treatment effects through representation balancing. CoRR Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
2023	J	`jnl`	NOFLITE: Learning to Predict Individual Treatment Effect Distributions. Trans. Mach. Learn. Res. Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke
2023	A	`conf`	To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2022	J	`jnl`	Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar
2022	J	`jnl`	Differentiable and Transportable Structure Learning. CoRR Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	A	`conf`	Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. AISTATS Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
2022	J	`jnl`	Navigating causal deep learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2021	J	`jnl`	Autoencoders for strategic decision support. Decis. Support Syst. Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
2021	A*	`conf`	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
2021	J	`jnl`	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
2021	J	`jnl`	Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time. CoRR Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar
2021	J	`jnl`	Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. CoRR Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
2021	A*	`conf`	Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
2021	J	`jnl`	Why you should stop predicting customer churn and start using uplift models. Inf. Sci. Floris Devriendt, Jeroen Berrevoets, Wouter Verbeke
2020	J	`jnl`	Autoencoders for strategic decision support. CoRR Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
2020	J	`jnl`	HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks. CoRR Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke
2020	A*	`conf`	OrganITE: Optimal transplant donor organ offering using an individual treatment effect. NeurIPS Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar
2020	J	`jnl`	The foundations of cost-sensitive causal classification. CoRR Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado
2019	J	`jnl`	Causal Simulations for Uplift Modeling. CoRR Jeroen Berrevoets, Wouter Verbeke
2019	J	`jnl`	Optimising Individual-Treatment-Effect Using Bandits. CoRR Jeroen Berrevoets, Sam Verboven, Wouter Verbeke