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Interpretable Learning-to-Rank with Generalized Additive Models

Interpretable Learning-to-Rank with Generalized Additive Models

6 May 2020
Honglei Zhuang
Xuanhui Wang
Michael Bendersky
Alexander Grushetsky
Yonghui Wu
Petr Mitrichev
Ethan Sterling
Nathan Bell
Walker Ravina
Hai Qian
    AI4CE
    FAtt
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Papers citing "Interpretable Learning-to-Rank with Generalized Additive Models"

5 / 5 papers shown
Title
Exposing Query Identification for Search Transparency
Exposing Query Identification for Search Transparency
Ruohan Li
Jianxiang Li
Bhaskar Mitra
Fernando Diaz
Asia J. Biega
29
8
0
14 Oct 2021
Learning Representations for Axis-Aligned Decision Forests through Input
  Perturbation
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
Sebastian Bruch
Jan Pfeifer
Mathieu Guillame-Bert
21
7
0
29 Jul 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
195
481
0
25 Jun 2008
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