Quantized Training of Gradient Boosting Decision Trees

20 July 2022

Papers citing "Quantized Training of Gradient Boosting Decision Trees"

4 / 4 papers shown

Title
Fair-OBNC: Correcting Label Noise for Fairer Datasets Ines Oliveira e Silva Sérgio Jesus Hugo Ferreira Pedro Saleiro Inês Sousa P. Bizarro Carlos Soares 37 0 0 08 Oct 2024
Machine Learning Methods as Robust Quantum Noise Estimators Jon Gardeazabal-Gutierrez Erik Terres Escudero Pablo García Bringas 24 1 0 23 Sep 2024
Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors Evgeny Kozinov Evgeny Vasiliev Andrey Gorshkov V. Kustikova Artem Maklaev V. Volokitin I. Meyerov 16 1 0 17 May 2024
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 610 0 13 Mar 2020