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Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback
  for Unbiased Learning to Rank
v1v2v3v4v5 (latest)

Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank

31 March 2022
Harrie Oosterhuis
    CML
ArXiv (abs)PDFHTML

Papers citing "Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank"

11 / 11 papers shown
Title
RewardRank: Optimizing True Learning-to-Rank Utility
RewardRank: Optimizing True Learning-to-Rank Utility
Gaurav Bhatt
K. K. Thekumparampil
Tanmay Gangwani
Tesi Xiao
Leonid Sigal
79
0
0
19 Aug 2025
Correcting for Position Bias in Learning to Rank: A Control Function Approach
Correcting for Position Bias in Learning to Rank: A Control Function Approach
Md Aminul Islam
Kathryn Vasilaky
Elena Zheleva
CML
69
2
0
08 Jun 2025
Ranking Policy Learning via Marketplace Expected Value Estimation From
  Observational Data
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
Ehsan Ebrahimzadeh
Nikhil Monga
Hang Gao
Alex Cozzi
Abraham Bagherjeiran
CMLOffRL
167
0
0
06 Oct 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
232
1
0
15 Sep 2024
Practical and Robust Safety Guarantees for Advanced Counterfactual
  Learning to Rank
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to RankInternational Conference on Information and Knowledge Management (CIKM), 2024
Shashank Gupta
Harrie Oosterhuis
Maarten de Rijke
339
9
0
29 Jul 2024
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
247
16
0
24 Jun 2024
Identifiability Matters: Revealing the Hidden Recoverable Condition in
  Unbiased Learning to Rank
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to RankInternational Conference on Machine Learning (ICML), 2023
Mouxiang Chen
Chenghao Liu
Zemin Liu
Zhuo Li
Jianling Sun
CML
231
4
0
27 Sep 2023
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
Jan Malte Lichtenberg
Alexander K. Buchholz
Giuseppe Di Benedetto
M. Ruffini
Ben London
OffRL
121
4
0
03 Sep 2023
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 RecommendationKnowledge Discovery and Data Mining (KDD), 2023
Olivier Jeunen
Ivan Potapov
Aleksei Ustimenko
ELMOffRL
341
20
0
27 Jul 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning
  Perspective
Unified Off-Policy Learning to Rank: a Reinforcement Learning PerspectiveNeural Information Processing Systems (NeurIPS), 2023
Zeyu Zhang
Yi-Hsun Su
Hui Yuan
Yiran Wu
R. Balasubramanian
Qingyun Wu
Huazheng Wang
Mengdi Wang
OffRLCML
312
7
0
13 Jun 2023
Recent Advances in the Foundations and Applications of Unbiased Learning
  to Rank
Recent Advances in the Foundations and Applications of Unbiased Learning to RankAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Shashank Gupta
Philipp Hager
Jin Huang
Ali Vardasbi
Harrie Oosterhuis
OffRL
153
7
0
04 May 2023
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