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GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
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GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

International Conference on Learning Representations (ICLR), 2023
29 September 2023
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
    LMTD
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)Github (91★)

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

5 / 5 papers shown
Title
iLTM: Integrated Large Tabular Model
David Bonet
Marçal Comajoan Cara
Alvaro Calafell
D. M. Montserrat
A. Ioannidis
LMTDPINN
196
0
0
20 Nov 2025
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and ExplanationsACM Transactions on Knowledge Discovery from Data (TKDD), 2025
Gianlucca L. Zuin
Adriano Veloso
139
0
0
11 Sep 2025
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory
Sascha Marton
Moritz Schneider
AI4CE
206
0
0
06 Feb 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient EnsemblingInternational Conference on Learning Representations (ICLR), 2024
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTDMoE
556
36
0
31 Oct 2024
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,183
0
16 Feb 2016
1