Harrie Oosterhuis

According to our database1, Harrie Oosterhuis authored at least 32 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.
CoRR, 2022

Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity.
CoRR, 2022

Doubly-Robust Estimation for Unbiased Learning-to-Rank from Position-Biased Click Feedback.
CoRR, 2022

It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank.
CoRR, 2021

Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions.
Proceedings of the WSDM '21, 2021

Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Session details: Session 4B - Semantic Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

2020
Learning from user interactions with rankings: a unification of the field.
SIGIR Forum, 2020

Unifying Online and Counterfactual Learning to Rank.
CoRR, 2020

Unbiased Learning to Rank: Counterfactual and Online Approaches.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Policy-Aware Unbiased Learning to Rank for Top-k Rankings.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles.
CoRR, 2019

Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Optimizing Ranking Models in an Online Setting.
Proceedings of the Advances in Information Retrieval, 2019

2018
Optimizing Interactive Systems with Data-Driven Objectives.
CoRR, 2018

Ranking for Relevance and Display Preferences in Complex Presentation Layouts.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Differentiable Unbiased Online Learning to Rank.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

The Potential of Learned Index Structures for Index Compression.
Proceedings of the 23rd Australasian Document Computing Symposium, 2018

2017
Query-Level Ranker Specialization.
Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), 2017

Balancing Speed and Quality in Online Learning to Rank for Information Retrieval.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Sensitive and Scalable Online Evaluation with Theoretical Guarantees.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Semantic Video Trailers.
CoRR, 2016

Multileave Gradient Descent for Fast Online Learning to Rank.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Probabilistic Multileave Gradient Descent.
Proceedings of the Advances in Information Retrieval, 2016

2015
Probabilistic Multileave for Online Retrieval Evaluation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015


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