Alert button
Picture for Harrie Oosterhuis

Harrie Oosterhuis

Alert button

Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?

Add code
Bookmark button
Alert button
May 13, 2024
Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand

Viaarxiv icon

Optimal Baseline Corrections for Off-Policy Contextual Bandits

Add code
Bookmark button
Alert button
May 09, 2024
Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke

Figure 1 for Optimal Baseline Corrections for Off-Policy Contextual Bandits
Figure 2 for Optimal Baseline Corrections for Off-Policy Contextual Bandits
Figure 3 for Optimal Baseline Corrections for Off-Policy Contextual Bandits
Figure 4 for Optimal Baseline Corrections for Off-Policy Contextual Bandits
Viaarxiv icon

A First Look at Selection Bias in Preference Elicitation for Recommendation

Add code
Bookmark button
Alert button
May 01, 2024
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

Viaarxiv icon

Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems

Add code
Bookmark button
Alert button
Apr 29, 2024
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke

Viaarxiv icon

Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees

Add code
Bookmark button
Alert button
Apr 18, 2024
Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis

Viaarxiv icon

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing

Add code
Bookmark button
Alert button
Apr 17, 2024
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis

Viaarxiv icon

A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions

Add code
Bookmark button
Alert button
Aug 06, 2023
Norman Knyazev, Harrie Oosterhuis

Figure 1 for A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
Figure 2 for A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
Figure 3 for A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
Figure 4 for A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
Viaarxiv icon

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

Add code
Bookmark button
Alert button
May 04, 2023
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Viaarxiv icon

Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization

Add code
Bookmark button
Alert button
Apr 26, 2023
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke

Figure 1 for Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Figure 2 for Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Figure 3 for Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Figure 4 for Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Viaarxiv icon

Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation

Add code
Bookmark button
Alert button
Sep 20, 2022
Clara Rus, Jeffrey Luppes, Harrie Oosterhuis, Gido H. Schoenmacker

Figure 1 for Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
Figure 2 for Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
Figure 3 for Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
Figure 4 for Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
Viaarxiv icon