Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning
–Neural Information Processing Systems
It solves distribution-valued supervised learning, where the output values of the training dataset are probability distributions.
Neural Information Processing Systems
Oct-10-2025, 18:14:21 GMT
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