Adversarial de-confounding in individualised treatment effects estimation
Observational studies have recently received significant attention from the machine learning community due to the increasingly available non-experimental observational data and the limitations of the experimental studies, such as considerable cost, impracticality, small and less representative sampl...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Proceedings of Machine Learning Research
2023
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