Learning latent functions for causal discovery
Causal discovery from observational data offers unique opportunities in many scientific disciplines: reconstructing causal drivers, testing causal hypotheses, and comparing and evaluating models for optimizing targeted interventions. Recent causal discovery methods focused on estimating the latent s...
| Published in: | Machine Learning: Science and Technology |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2023-01-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/ace151 |