Harrie Oosterhuis
5 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Machine Learning
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Learning Types
(2)
Optimization & Theory · Machine Learning
(2)
Computer Science
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
online learning
(1)
information retrieval
(1)
feature attribution
(1)
gradient estimation
(1)
model interpretability
(1)
relevance prediction
(1)
document ranking
(1)
learning to rank
(1)
plackett-luce model
(1)
ranking optimization
(1)
tree ensemble
(1)
fairness metric
(1)
optimization framework
(1)
model explanation
(1)
counterfactual explanation
(1)
position bia
(1)
predictive performance
(1)
feature leakage
(1)
label leakage
(1)
counterfactual learning
(1)
Papers
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
ICML 2024
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract)
IJCAI 2022
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
AAAI 2022
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract)
IJCAI 2021