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News/Parallel gradient boosting for flexible estimation of conditional distributions
arxiv
PublishedJuly 16, 2026 at 4:00 AM
▲bullish

Parallel gradient boosting for flexible estimation of conditional distributions

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.13550v1 Announce Type: cross Abstract: Boosting is one of the most successful learning techniques for standard classification and regression tasks. Its extension to multi-output prediction problems has found an increasing number of applications in recent years. Among them is the predictio

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Discussion
Mentioned models
02
  • 01
    XGBoost
  • 02
    Parallel Gradient Boosting
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#boosting#regression#quantile regression

No replies yet. Be first.

Mentioned models
02
  • 01
    XGBoost
  • 02
    Parallel Gradient Boosting
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#boosting#regression#quantile regression

Related coverage

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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