Seuraa
Jeroen Berrevoets
Jeroen Berrevoets
University of Cambridge
Vahvistettu sähköpostiosoite verkkotunnuksessa cam.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Why you should stop predicting customer churn and start using uplift models
F Devriendt, J Berrevoets, W Verbeke
Information Sciences, 2021
1292021
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
1222021
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
692023
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
492020
Causal deep learning
J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar
arXiv preprint arXiv:2303.02186, 2023
362023
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
332022
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
272023
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
212021
Autoencoders for strategic decision support
S Verboven, J Berrevoets, C Wuytens, B Baesens, W Verbeke
Decision Support Systems, 2020
212020
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
182021
The foundations of cost-sensitive causal classification
W Verbeke, D Olaya, J Berrevoets, S Verboven, S Maldonado
arXiv preprint arXiv:2007.12582, 2020
182020
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
152023
Treatment effect optimisation in dynamic environments
J Berrevoets, S Verboven, W Verbeke
Journal of Causal Inference 10 (1), 106-122, 2022
112022
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
92022
NOFLITE: Learning to Predict Individual Treatment Effect Distributions
T Vanderschueren, J Berrevoets, W Verbeke
Transactions on Machine Learning Research (TMLR), 2023
82023
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
K Kacprzyk*, S Holt*, J Berrevoets*, Z Qian, M van der Schaar
International Conference on Learning Representations (ICLR), 2024
72024
Optimising Individual-Treatment-Effect Using Bandits
J Berrevoets, S Verboven, W Verbeke
CausalML Workshop at Neural Information Processing Systems, 2019
72019
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
J Berrevoets, D Jarrett, A Chan, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2023
52023
Combining observational and randomized data for estimating heterogeneous treatment effects (2022)
T Hatt, J Berrevoets, A Curth, S Feuerriegel, M van der Schaar
arXiv preprint arXiv:2202.12891, 0
5
Causal deep learning: encouraging impact on real-world problems through causality
J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar
Foundations and Trends® in Signal Processing 18 (3), 200-309, 2024
32024
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