Harrie Oosterhuis
Orcid: 0000-0002-0458-9233
According to our database1,
Harrie Oosterhuis
authored at least 47 papers
between 2015 and 2024.
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Bibliography
2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
Proceedings of the Advances in Information Retrieval, 2024
2023
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank.
ACM Trans. Inf. Syst., 2023
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback.
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023
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
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021
2020
SIGIR Forum, 2020
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
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
Proceedings of the Advances in Information Retrieval, 2019
2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 23rd Australasian Document Computing Symposium, 2018
2017
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
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
Proceedings of the Advances in Information Retrieval, 2016
2015
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015