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

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

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…