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DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction


Aug 02, 2022
Yanke Li, Hatt Tobias, Ioana Bica, Mihaela van der Schaar


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DAUX: a Density-based Approach for Uncertainty eXplanations


Jul 11, 2022
Hao Sun, Boris van Breugel, Jonathan Crabbe, Nabeel Seedat, Mihaela van der Schaar


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D-CIPHER: Discovery of Closed-form PDEs


Jun 21, 2022
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar


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Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability


Jun 16, 2022
Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar


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Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations


Jun 16, 2022
Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar

* Presented at the International Conference on Machine Learning (ICML) 2022 

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HyperImpute: Generalized Iterative Imputation with Automatic Model Selection


Jun 15, 2022
Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar

* In Proc. 39th International Conference on Machine Learning (ICML 2022) 

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Neural Laplace: Learning diverse classes of differential equations in the Laplace domain


Jun 14, 2022
Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

* Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022. Copyright 2022 by the author(s) 

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Differentiable and Transportable Structure Learning


Jun 13, 2022
Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar


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POETREE: Interpretable Policy Learning with Adaptive Decision Trees


Mar 15, 2022
Alizée Pace, Alex J. Chan, Mihaela van der Schaar


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Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies


Mar 14, 2022
Alex J. Chan, Alicia Curth, Mihaela van der Schaar


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