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Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient
  Estimation With Minimal Computational Complexity

Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity

22 April 2022
Harrie Oosterhuis
ArXivPDFHTML

Papers citing "Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity"

5 / 5 papers shown
Title
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
To Eun Kim
Fernando Diaz
74
2
0
17 Sep 2024
Proximal Ranking Policy Optimization for Practical Safety in
  Counterfactual Learning to Rank
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
Shashank Gupta
Harrie Oosterhuis
Maarten de Rijke
OffRL
51
0
0
15 Sep 2024
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation
  Metric for Top-$n$ Recommendation
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-nnn Recommendation
Olivier Jeunen
Ivan Potapov
Aleksei Ustimenko
ELM
OffRL
51
11
0
27 Jul 2023
Inference-time Stochastic Ranking with Risk Control
Inference-time Stochastic Ranking with Risk Control
Ruocheng Guo
Jean-François Ton
Yang Liu
Hang Li
43
2
0
12 Jun 2023
StochasticRank: Global Optimization of Scale-Free Discrete Functions
StochasticRank: Global Optimization of Scale-Free Discrete Functions
Aleksei Ustimenko
Liudmila Prokhorenkova
45
19
0
04 Mar 2020
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