Learning conditional distributions on continuous spaces

Ali NematiJan 1, 202520 sec read12 views

Researchers developed methods for learning conditional distributions on continuous spaces using clustering techniques and established optimal configurations for convergence rates. The study highlights the practical benefits of incorporating nearest neighbors into neural network training for improved performance and adaptability to local Lipschitz continuity.

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Learning conditional distributions on continuous spaces

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