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Learning Accurate Decision Trees with Bandit Feedback via Quantized
  Gradient Descent
v1v2v3 (latest)

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent

15 February 2021
Ajaykrishna Karthikeyan
Naman Jain
Nagarajan Natarajan
Prateek Jain
    MQ
ArXiv (abs)PDFHTML

Papers citing "Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent"

5 / 5 papers shown
LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification
LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification
Hongyi Li
Jun Xu
William Ward Armstrong
320
0
0
07 May 2025
Enhancing Group Fairness in Online Settings Using Oblique Decision
  Forests
Enhancing Group Fairness in Online Settings Using Oblique Decision ForestsInternational Conference on Learning Representations (ICLR), 2023
Somnath Basu Roy Chowdhury
Nicholas Monath
Ahmad Beirami
Rahul Kidambi
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
458
3
0
17 Oct 2023
Multiple Instance Learning with Trainable Decision Tree Ensembles
Multiple Instance Learning with Trainable Decision Tree Ensembles
A. Konstantinov
Lev V. Utkin
228
0
0
13 Feb 2023
Treeformer: Dense Gradient Trees for Efficient Attention Computation
Treeformer: Dense Gradient Trees for Efficient Attention ComputationInternational Conference on Learning Representations (ICLR), 2022
Lovish Madaan
Srinadh Bhojanapalli
Himanshu Jain
Prateek Jain
274
9
0
18 Aug 2022
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
A Neural Tangent Kernel Perspective of Infinite Tree EnsemblesInternational Conference on Learning Representations (ICLR), 2021
Ryuichi Kanoh
M. Sugiyama
224
7
0
10 Sep 2021
1
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