Optimizing Treatment Allocation in the Presence of Interference

Authors: Caljon, Daan, Van Belle, Jente, Berrevoets, Jeroen, Verbeke, Wouter

Subject Terms: Computer Science - Social and Information Networks, Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2410.00075

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

Authors: Kacprzyk, Krzysztof, Holt, Samuel, Berrevoets, Jeroen, Qian, Zhaozhi, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2403.10766

DAGnosis: Localized Identification of Data Inconsistencies using Structures

Authors: Huynh, Nicolas, Berrevoets, Jeroen, Seedat, Nabeel, Crabbé, Jonathan, Qian, Zhaozhi, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2402.17599

Using representation balancing to learn conditional-average dose responses from clustered data

Authors: Bockel-Rickermann, Christopher, Vanderschueren, Toon, Berrevoets, Jeroen, Verdonck, Tim, Verbeke, Wouter

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology, 62D20

Access URL: http://arxiv.org/abs/2309.03731

Learning Representations without Compositional Assumptions

Authors: Liu, Tennison, Berrevoets, Jeroen, Qian, Zhaozhi, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2305.19726

Causal Deep Learning

Authors: Berrevoets, Jeroen, Kacprzyk, Krzysztof, Qian, Zhaozhi, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2303.02186

Navigating causal deep learning

Authors: Berrevoets, Jeroen, Kacprzyk, Krzysztof, Qian, Zhaozhi, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2212.00911

Differentiable and Transportable Structure Learning

Authors: Berrevoets, Jeroen, Seedat, Nabeel, Imrie, Fergus, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2206.06354

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects

Authors: Hatt, Tobias, Berrevoets, Jeroen, Curth, Alicia, Feuerriegel, Stefan, van der Schaar, Mihaela

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2202.12891

To Impute or not to Impute? Missing Data in Treatment Effect Estimation

Authors: Berrevoets, Jeroen, Imrie, Fergus, Kyono, Trent, Jordon, James, van der Schaar, Mihaela

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2202.02096

Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time

Authors: Berrevoets, Jeroen, Curth, Alicia, Bica, Ioana, McKinney, Eoin, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2112.03811

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

Authors: van Breugel, Boris, Kyono, Trent, Berrevoets, Jeroen, van der Schaar, Mihaela

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2110.12884

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects

Authors: Zhang, Yao, Berrevoets, Jeroen, van der Schaar, Mihaela

Source: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2108.03039

HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks

Authors: Verboven, Sam, Chaudhary, Muhammad Hafeez, Berrevoets, Jeroen, Verbeke, Wouter

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2008.11643

The foundations of cost-sensitive causal classification

Authors: Verbeke, Wouter, Olaya, Diego, Berrevoets, Jeroen, Verboven, Sam, Maldonado, Sebastián

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2007.12582

Autoencoders for strategic decision support

Authors: Verboven, Sam, Berrevoets, Jeroen, Wuytens, Chris, Baesens, Bart, Verbeke, Wouter

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2005.01075

Optimising Individual-Treatment-Effect Using Bandits

Authors: Berrevoets, Jeroen, Verboven, Sam, Verbeke, Wouter

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1910.07265

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Causal Simulations for Uplift Modeling

Authors: Berrevoets, Jeroen, Verbeke, Wouter

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/1902.00287

Treatment effect optimisation in dynamic environments

Authors: Berrevoets Jeroen, Verboven Sam, Verbeke Wouter

Source: Journal of Causal Inference, Vol 10, Iss 1, Pp 106-122 (2022)

Subject Terms: bandit algorithms, uplift modelling, individual treatment effect, 62d20, Mathematics, QA1-939, Probabilities. Mathematical statistics, QA273-280

File Description: electronic resource

Relation: https://doaj.org/toc/2193-3685

Access URL: https://doaj.org/article/6372ea338395421ba959203edb8072f8