Neural Conditional Probability for Inference
We introduce NCP (Neural Conditional Probability), a novel operator-theoretic approach for learning conditional distributions with a particular focus on inference tasks. NCP can be used to build conditional confidence regions and extract important statistics like conditional quantiles, mean, and cov...
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Main Authors | , , , , , |
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Format | Journal Article |
Language | English |
Published |
01.07.2024
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Subjects | |
Online Access | Get full text |
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