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Jeroen Berrevoets
Jeroen Berrevoets
University of Cambridge
E-mailová adresa ověřena na: cam.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
Why you should stop predicting customer churn and start using uplift models
F Devriendt, J Berrevoets, W Verbeke
Information Sciences, 2021
1052021
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
842021
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
402020
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
342023
Causal deep learning
J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar
arXiv preprint arXiv:2303.02186, 2023
272023
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
252022
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
212023
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
182021
Autoencoders for strategic decision support
S Verboven, J Berrevoets, C Wuytens, B Baesens, W Verbeke
Decision Support Systems, 2020
162020
The foundations of cost-sensitive causal classification
W Verbeke, D Olaya, J Berrevoets, S Verboven, S Maldonado
arXiv preprint arXiv:2007.12582, 2020
152020
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
132023
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
132021
Treatment effect optimisation in dynamic environments
J Berrevoets, S Verboven, W Verbeke
Journal of Causal Inference 10 (1), 106-122, 2022
92022
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
82022
Optimising Individual-Treatment-Effect Using Bandits
J Berrevoets, S Verboven, W Verbeke
CausalML Workshop at Neural Information Processing Systems, 2019
62019
NOFLITE: Learning to Predict Individual Treatment Effect Distributions
T Vanderschueren, J Berrevoets, W Verbeke
Transactions on Machine Learning Research (TMLR), 2023
32023
DAGnosis: Localized Identification of Data Inconsistencies using Structures
N Huynh*, J Berrevoets*, N Seedat, J Crabbé, Z Qian, M van der Schaar
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
22024
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
22023
Differentiable and Transportable Structure Learning
J Berrevoets, N Seedat, F Imrie, M van der Schaar
International Conference on Machine Learning (ICML), 2023
22023
Navigating causal deep learning
J Berrevoets, K Kacprzyk, Z Qian, M van der Schaar
arXiv preprint arXiv:2212.00911, 2022
22022
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Články 1–20