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The Random Conditional Distribution for Higher-Order Probabilistic Inference
The need to condition distributional properties such as expectation, variance, and entropy arises in algorithmic fairness, model simplification, robustness and many other areas.
Soft Constraints for Inference with Declarative Knowledge
We develop a likelihood free inference procedure for conditioning a probabilistic model on a predicate.
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