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StochasticRank: Global Optimization of Scale-Free Discrete Functions

StochasticRank: Global Optimization of Scale-Free Discrete Functions

4 March 2020
Aleksei Ustimenko
Liudmila Prokhorenkova
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Papers citing "StochasticRank: Global Optimization of Scale-Free Discrete Functions"

4 / 4 papers shown
Title
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
27
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
27
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
32
2
0
12 Jun 2023
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback
  for Unbiased Learning to Rank
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank
Harrie Oosterhuis
CML
23
27
0
31 Mar 2022
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