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conditional distribution estimation 1gradient boosting 1high-dimensional data 1multiple quantile regression 1parallel training 1

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stat.ML2026

Parallel gradient boosting for flexible estimation of conditional distributions

Rémy Chapelle, Nicolas Vayatis, Bruno Falissard +1

The paper introduces parallel gradient boosting, a modification of gradient boosting that uses a single shared descent direction to train one base model per iteration for all targe…