Search Results for author: Zhuoer Xu

Found 2 papers, 1 papers with code

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees

1 code implementation17 Jan 2022 ZhenZhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng

Despite the success of deep learning in computer vision and natural language processing, Gradient Boosted Decision Tree (GBDT) is yet one of the most powerful tools for applications with tabular data such as e-commerce and FinTech.

Multi-Task Learning

DIFER: Differentiable Automated Feature Engineering

no code implementations17 Oct 2020 Guanghui Zhu, Zhuoer Xu, Xu Guo, Chunfeng Yuan, Yihua Huang

Extensive experiments on classification and regression datasets demonstrate that DIFER can significantly improve the performance of various machine learning algorithms and outperform current state-of-the-art AutoFE methods in terms of both efficiency and performance.

Automated Feature Engineering Feature Engineering

Cannot find the paper you are looking for? You can Submit a new open access paper.