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Learning-to-Rank with Partitioned Preference: Fast Estimation for the
  Plackett-Luce Model
v1v2v3 (latest)

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model

9 June 2020
Jiaqi Ma
Xinyang Yi
Weijing Tang
Zhe Zhao
Lichan Hong
Ed H. Chi
Qiaozhu Mei
ArXiv (abs)PDFHTML

Papers citing "Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model"

3 / 3 papers shown
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Bo Han
623
29
0
11 Sep 2024
Fast Learning of MNL Model from General Partial Rankings with
  Application to Network Formation Modeling
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingWeb Search and Data Mining (WSDM), 2021
Jiaqi Ma
Xingjian Zhang
Qiaozhu Mei
153
2
0
31 Dec 2021
Language Modelling via Learning to Rank
Language Modelling via Learning to Rank
A. Frydenlund
Gagandeep Singh
Frank Rudzicz
218
9
0
13 Oct 2021
1
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