Harrie Oosterhuis

107 papers A* 23A 18Misc 8Journal 51Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. Trans. Mach. Learn. Res. Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2026	—	`conf`	Sample-Free Almost-Exact Estimation of Plackett-Luce Propensities for Off-Policy Ranking. ECIR (1) Norman Knyazev, Harrie Oosterhuis
2025	A	`conf`	A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options. RecSys Thorsten Krause, Harrie Oosterhuis
2025	J	`jnl`	A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options. CoRR Thorsten Krause, Harrie Oosterhuis
2025	J	`jnl`	A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. CoRR Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla
2025	A*	`conf`	Adaptive Orchestration of Modular Generative Information Access Systems. SIGIR Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi
2025	J	`jnl`	Adaptive Orchestration of Modular Generative Information Access Systems. CoRR Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi
2025	A	`conf`	CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims
2025	J	`jnl`	Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. CoRR Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G. C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
2025	A*	`conf`	Learning to Rank with Variable Result Presentation Lengths. SIGIR Norman Knyazev, Harrie Oosterhuis
2025	J	`jnl`	Learning to Rank with Variable Result Presentation Lengths. CoRR Norman Knyazev, Harrie Oosterhuis
2025	A*	`conf`	Optimizing Compound Retrieval Systems. SIGIR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	J	`jnl`	Optimizing Compound Retrieval Systems. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	A*	`conf`	RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces. SIGIR Santiago de Leon-Martinez, Jingwei Kang, Róbert Móro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Mária Bieliková
2025	J	`jnl`	RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces. CoRR Santiago de Leon-Martinez, Jingwei Kang, Róbert Móro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Mária Bieliková
2025	Misc	`conf`	Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models. ICTIR Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis
2025	J	`jnl`	Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models. CoRR Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis
2024	J	`jnl`	A First Look at Selection Bias in Preference Elicitation for Recommendation. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization. CoRR Hua Chang Bakker, Shashank Gupta, Harrie Oosterhuis
2024	J	`jnl`	AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit. CoRR Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke, Harrie Oosterhuis, Faegheh Hasibi
2024	A	`conf`	CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2024	A*	`conf`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	A*	`conf`	Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. SIGIR Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis
2024	J	`jnl`	Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. CoRR Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis
2024	A*	`conf`	Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024	J	`jnl`	Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. CoRR Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024	—	`conf`	Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? ECIR (4) Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand
2024	J	`jnl`	Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? CoRR Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand
2024	A*	`conf`	Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. ICML Harrie Oosterhuis, Lijun Lyu, Avishek Anand
2024	J	`jnl`	Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. CoRR Harrie Oosterhuis, Lijun Lyu, Avishek Anand
2024	A	`conf`	Optimal Baseline Corrections for Off-Policy Contextual Bandits. RecSys Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
2024	A	`conf`	Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CIKM Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	Misc	`ed.`	Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024 ICTIR Harrie Oosterhuis, Hannah Bast, Chenyan Xiong
2024	J	`jnl`	Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2024	A*	`conf`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2024	A	`conf`	Unbiased Learning to Rank: On Recent Advances and Practical Applications. WSDM Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023	Misc	`conf`	A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. ICTIR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2023	A	`conf`	A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions. RecSys Norman Knyazev, Harrie Oosterhuis
2023	J	`jnl`	A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions. CoRR Norman Knyazev, Harrie Oosterhuis
2023	A	`conf`	CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2023	J	`jnl`	Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank. ACM Trans. Inf. Syst. Harrie Oosterhuis
2023	—	`conf`	Recent Advancements in Unbiased Learning to Rank. FIRE Shashank Gupta, Philipp K. Hager, Harrie Oosterhuis
2023	A*	`conf`	Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. SIGIR Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023	J	`jnl`	Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. CoRR Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023	A*	`conf`	Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. SIGIR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2023	J	`jnl`	Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. CoRR Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
2022	A	`conf`	CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
2022	—	`conf`	Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation. HR@RecSys Clara Rus, Jeffrey Luppes, Harrie Oosterhuis, Gido H. Schoenmacker
2022	J	`jnl`	Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation. CoRR Clara Rus, Jeffrey Luppes, Harrie Oosterhuis, Gido H. Schoenmacker
2022	A*	`conf`	Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract). IJCAI Harrie Oosterhuis
2022	J	`jnl`	Doubly-Robust Estimation for Unbiased Learning-to-Rank from Position-Biased Click Feedback. CoRR Harrie Oosterhuis
2022	A*	`conf`	FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. AAAI Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke
2022	A	`conf`	It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. WSDM Jin Huang, Harrie Oosterhuis, Maarten de Rijke
2022	J	`jnl`	Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity. CoRR Harrie Oosterhuis
2022	A*	`conf`	Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity. SIGIR Harrie Oosterhuis
2022	Misc	`conf`	Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank. ICTIR Harrie Oosterhuis
2022	J	`jnl`	Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank. CoRR Harrie Oosterhuis
2022	A*	`conf`	State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. SIGIR Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke
2022	J	`jnl`	State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. CoRR Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke
2022	Misc	`conf`	The Bandwagon Effect: Not Just Another Bias. ICTIR Norman Knyazev, Harrie Oosterhuis
2022	J	`jnl`	The Bandwagon Effect: Not Just Another Bias. CoRR Norman Knyazev, Harrie Oosterhuis
2021	A*	`conf`	Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness. SIGIR Harrie Oosterhuis
2021	J	`jnl`	Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness. CoRR Harrie Oosterhuis
2021	J	`jnl`	It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. CoRR Jin Huang, Harrie Oosterhuis, Maarten de Rijke
2021	J	`jnl`	Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank. CoRR Harrie Oosterhuis, Maarten de Rijke
2021	A*	`conf`	Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. WWW Harrie Oosterhuis, Maarten de Rijke
2021	Misc	`conf`	Session details: Session 4B - Semantic Retrieval. ICTIR Harrie Oosterhuis
2021	A*	`conf`	Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract). IJCAI Harrie Oosterhuis, Maarten de Rijke
2021	A	`conf`	Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. WSDM Harrie Oosterhuis, Maarten de Rijke
2020	A	`conf`	Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. RecSys Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof
2020	J	`jnl`	Learning from User Interactions with Rankings: A Unification of the Field. CoRR Harrie Oosterhuis
2020	J	`jnl`	Learning from user interactions with rankings: a unification of the field. SIGIR Forum Harrie Oosterhuis
2020	A*	`conf`	Policy-Aware Unbiased Learning to Rank for Top-k Rankings. SIGIR Harrie Oosterhuis, Maarten de Rijke
2020	J	`jnl`	Policy-Aware Unbiased Learning to Rank for Top-k Rankings. CoRR Harrie Oosterhuis, Maarten de Rijke
2020	Misc	`conf`	Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. ICTIR Harrie Oosterhuis, Maarten de Rijke
2020	J	`jnl`	Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. CoRR Harrie Oosterhuis, Maarten de Rijke
2020	—	`conf`	Unbiased Learning to Rank: Counterfactual and Online Approaches. WWW (Companion Volume) Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2020	J	`jnl`	Unifying Online and Counterfactual Learning to Rank. CoRR Harrie Oosterhuis, Maarten de Rijke
2020	A	`conf`	When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. CIKM Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke
2020	J	`jnl`	When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. CoRR Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke
2019	J	`jnl`	Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. CoRR Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke
2019	A*	`conf`	Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2019	—	`conf`	Optimizing Ranking Models in an Online Setting. ECIR (1) Harrie Oosterhuis, Maarten de Rijke
2019	J	`jnl`	Optimizing Ranking Models in an Online Setting. CoRR Harrie Oosterhuis, Maarten de Rijke
2019	A*	`conf`	To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. SIGIR Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
2019	J	`jnl`	To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. CoRR Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
2019	J	`jnl`	Unbiased Learning to Rank: Counterfactual and Online Approaches. CoRR Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2018	A	`conf`	Differentiable Unbiased Online Learning to Rank. CIKM Harrie Oosterhuis, Maarten de Rijke
2018	J	`jnl`	Differentiable Unbiased Online Learning to Rank. CoRR Harrie Oosterhuis, Maarten de Rijke
2018	J	`jnl`	Optimizing Interactive Systems with Data-Driven Objectives. CoRR Ziming Li, Artem Grotov, Julia Kiseleva, Maarten de Rijke, Harrie Oosterhuis
2018	A*	`conf`	Ranking for Relevance and Display Preferences in Complex Presentation Layouts. SIGIR Harrie Oosterhuis, Maarten de Rijke
2018	J	`jnl`	Ranking for Relevance and Display Preferences in Complex Presentation Layouts. CoRR Harrie Oosterhuis, Maarten de Rijke
2018	Misc	`conf`	The Potential of Learned Index Structures for Index Compression. ADCS Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke
2018	J	`jnl`	The Potential of Learned Index Structures for Index Compression. CoRR Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke
2017	A	`conf`	Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. CIKM Harrie Oosterhuis, Maarten de Rijke
2017	J	`jnl`	Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. CoRR Harrie Oosterhuis, Maarten de Rijke
2017	—	`conf`	Query-Level Ranker Specialization. LEARNER@ICTIR Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
2017	A	`conf`	Sensitive and Scalable Online Evaluation with Theoretical Guarantees. CIKM Harrie Oosterhuis, Maarten de Rijke
2017	J	`jnl`	Sensitive and Scalable Online Evaluation with Theoretical Guarantees. CoRR Harrie Oosterhuis, Maarten de Rijke
2016	A	`conf`	Multileave Gradient Descent for Fast Online Learning to Rank. WSDM Anne Schuth, Harrie Oosterhuis, Shimon Whiteson, Maarten de Rijke
2016	A	`conf`	Probabilistic Multileave Gradient Descent. ECIR Harrie Oosterhuis, Anne Schuth, Maarten de Rijke
2016	J	`jnl`	Semantic Video Trailers. CoRR Harrie Oosterhuis, Sujith Ravi, Michael Bendersky
2015	A*	`conf`	Probabilistic Multileave for Online Retrieval Evaluation. SIGIR Anne Schuth, Robert-Jan Bruintjes, Fritjof Buüttner, Joost van Doorn, Carla Groenland, Harrie Oosterhuis, Cong-Nguyen Tran, Bas Veeling, Jos van der Velde, Roger Wechsler, David Woudenberg, Maarten de Rijke