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Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data


Oct 24, 2022
Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar

* Presented at NeurIPS 2022 

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Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation


Oct 08, 2022
Ioana Bica, Mihaela van der Schaar


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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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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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Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?


Jan 13, 2022
Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic


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Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time


Dec 07, 2021
Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin McKinney, Mihaela van der Schaar


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The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation


Jun 08, 2021
Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, Mihaela van der Schaar


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Model-Attentive Ensemble Learning for Sequence Modeling


Feb 23, 2021
Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar


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Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge


Feb 11, 2021
Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar


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Learning Matching Representations for Individualized Organ Transplantation Allocation


Feb 02, 2021
Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar

* Accepted to AISTATS 2021 

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