GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

29 September 2023

Sascha Marton

Christian Bartelt

Heiner Stuckenschmidt

Papers citing "GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data"

7 / 7 papers shown

Title
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 46 0 0 17 Apr 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 92 6 0 31 Oct 2024
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization Shijie Cui Agus Sudjianto Aijun Zhang Runze Li AI4CE 33 11 0 26 Apr 2023
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 61 71 0 20 Jan 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 157 416 0 11 Dec 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 85 294 0 13 Sep 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 75 764 0 13 Nov 2018