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GBDT-PL avatar

GBDT-PL/GBDT-PL

0
View on GitHub↗
158 stars·26 forks·C++·MIT·8 views

GBDT PL

This is the implementation for the paper Gradient Boosting with Piece-Wise Linear Regression Trees. We extend gradient boosting to use piecewise linear regression trees (PL Trees), instead of piecewise constant regression trees. PL Trees can accelerate convergence of GBDT. Moreover, our new…

Features

  • Gradient Boosting Research - Gradient boosting using piece-wise linear regression trees.

Star history

Star history chart for gbdt-pl/gbdt-plStar history chart for gbdt-pl/gbdt-pl

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with GBDT PL

These projects share indexed features with GBDT PL. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • ajoo/nrgboostajoo avatar

    ajoo/nrgboost

    5View on GitHub↗

    This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025).

    Python
    View on GitHub↗5
  • amirsaffari/online-multiclass-lpboostamirsaffari avatar

    amirsaffari/online-multiclass-lpboost

    68View on GitHub↗

    Online Multi-Class LPBoost

    C++
    View on GitHub↗68
  • andymiller/vboostandymiller avatar

    andymiller/vboost

    11View on GitHub↗

    code for Variational Boosting: Iteratively Refining Posterior Approximations

    Python
    View on GitHub↗11
  • aciditeam/acidanoaciditeam avatar

    aciditeam/acidano

    4View on GitHub↗
    Jupyter Notebook
    View on GitHub↗4
Compare all 30 related projects→

Frequently asked questions

What does gbdt-pl/gbdt-pl do?

This is the implementation for the paper Gradient Boosting with Piece-Wise Linear Regression Trees. We extend gradient boosting to use piecewise linear regression trees (PL Trees), instead of piecewise constant regression trees. PL Trees can accelerate convergence of GBDT. Moreover, our new…

What are the main features of gbdt-pl/gbdt-pl?

The main features of gbdt-pl/gbdt-pl are: Gradient Boosting Research.

Which projects share features with gbdt-pl/gbdt-pl?

Projects with overlapping indexed features include: ajoo/nrgboost — This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025). amirsaffari/online-multiclass-lpboost — Online Multi-Class LPBoost. andymiller/vboost — code for Variational Boosting: Iteratively Refining Posterior Approximations. anitan0925/resfgb — Remark: The code is updated from the ICML version. The ICML version corresponds to a commit on May 25, 2018. arogozhnikov/infiniteboost — Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov,… aciditeam/acidano.