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Total variation distance of probability measures
Total variation distance of probability measures
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New distance-based approach quantifies uncertainty in machine learning
Researchers have developed a novel distance-based approach to quantify different types of uncertainty in machine learning models, specifically addressing credal sets which represent uncertainty in probability measures. …
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New inequalities clarify Gaussian mixture distance relationships
Researchers have established new inequalities that precisely define the relationship between total variation and Hellinger distances for Gaussian mixtures. Their findings provide a general upper bound, showing the Helli…