Causal inference methods for supporting, understanding, and improving decision-making
<p>Causality and the ability to reason about cause-and-effect relationships are central to decision-making. This thesis contributes to the area of causal inference by proposing new machine learning methods that can be used for supporting, understanding, and improving decision-making, with a fo...
Prif Awdur: | Bica, I |
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Awduron Eraill: | van der Schaar, M |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2022
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Pynciau: |
Eitemau Tebyg
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Interpretable causal systems: interpretability and causality in machine learning for human and nonhuman decision-making
gan: Graham, L
Cyhoeddwyd: (2020) -
Large scale methods for kernels, causal inference and survival modelling
gan: Hu, R
Cyhoeddwyd: (2022) -
Causal ML: Python package for causal inference machine learning
gan: Yang Zhao, et al.
Cyhoeddwyd: (2023-02-01) -
Deep learning for causal inference on electronic health records
gan: Rao, S
Cyhoeddwyd: (2023) -
Causal evidence in health decision making: methodological approaches of causal inference and health decision science
gan: Kühne, Felicitas, et al.
Cyhoeddwyd: (2022-12-01)