Harrie Oosterhuis


2015

doi dblp
Probabilistic Multileave for Online Retrieval Evaluation
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
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2016

doi dblp
Multileave Gradient Descent for Fast Online Learning to Rank
Anne Schuth | Harrie Oosterhuis | Shimon Whiteson | Maarten de Rijke
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016

doi dblp
Probabilistic Multileave Gradient Descent
Harrie Oosterhuis | Anne Schuth | Maarten de Rijke
Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

2017

doi dblp
Sensitive and Scalable Online Evaluation with Theoretical Guarantees
Harrie Oosterhuis | Maarten de Rijke
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

doi dblp
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval
Harrie Oosterhuis | Maarten de Rijke
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

pdf dblp
Query-Level Ranker Specialization
Rolf Jagerman | Harrie Oosterhuis | Maarten de Rijke
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), Amsterdam, The Netherlands, October 1, 2017

2018

doi dblp
Ranking for Relevance and Display Preferences in Complex Presentation Layouts
Harrie Oosterhuis | Maarten de Rijke
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

doi dblp
Differentiable Unbiased Online Learning to Rank
Harrie Oosterhuis | Maarten de Rijke
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
The Potential of Learned Index Structures for Index Compression
Harrie Oosterhuis | J. Shane Culpepper | Maarten de Rijke
Proceedings of the 23rd Australasian Document Computing Symposium, ADCS 2018, Dunedin, New Zealand, December 11-12, 2018

2019

doi dblp
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
Rolf Jagerman | Harrie Oosterhuis | Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

doi dblp
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning
Claudio Lucchese | Franco Maria Nardini | Rama Kumar Pasumarthi | Sebastian Bruch | Michael Bendersky | Xuanhui Wang | Harrie Oosterhuis | Rolf Jagerman | Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

doi dblp
Optimizing Ranking Models in an Online Setting
Harrie Oosterhuis | Maarten de Rijke
Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I

2020

doi dblp
Unbiased Learning to Rank: Counterfactual and Online Approaches
Harrie Oosterhuis | Rolf Jagerman | Maarten de Rijke
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
Policy-Aware Unbiased Learning to Rank for Top-k Rankings
Harrie Oosterhuis | Maarten de Rijke
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

dblp
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking
Harrie Oosterhuis | Maarten de Rijke
ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020

doi dblp
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank
Ali Vardasbi | Harrie Oosterhuis | Maarten de Rijke
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp
Learning from user interactions with rankings: a unification of the field
Harrie Oosterhuis
2020 Volume 54 Issue 2

2021

doi dblp
Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank
Harrie Oosterhuis | Maarten de Rijke
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

doi dblp
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions
Harrie Oosterhuis | Maarten de Rijke
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
Harrie Oosterhuis
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

doi dblp
Session details: Session 4B - Semantic Retrieval
Harrie Oosterhuis
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021