Introduces practical estimators and learning methods to apply subtractive mixture models to variational inference and importance sampling, with empirical tests on distribution approximation and fixes for stability issues.
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How to Approximate Inference with Subtractive Mixture Models
Introduces practical estimators and learning methods to apply subtractive mixture models to variational inference and importance sampling, with empirical tests on distribution approximation and fixes for stability issues.