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Thorsten Joachims

Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model

Oct 15, 2022
Alexander Buchholz, Ben London, Giuseppe di Benedetto, Thorsten Joachims

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* Presented at CONSEQUENCES workshop (Recsys '22) https://sites.google.com/view/consequences2022/contributions

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Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking

Jun 15, 2022
Yuta Saito, Thorsten Joachims

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* accepted at KDD2022

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Fairness in the First Stage of Two-Stage Recommender Systems

Jun 02, 2022
Lequn Wang, Thorsten Joachims

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Off-Policy Evaluation for Large Action Spaces via Embeddings

Feb 13, 2022
Yuta Saito, Thorsten Joachims

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* 32 pages

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Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits

Feb 03, 2022
Aaron David Tucker, Thorsten Joachims

* 19 pages, 4 figures, in submission

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Improving Screening Processes via Calibrated Subset Selection

Feb 02, 2022
Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez

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Fairness in Ranking under Uncertainty

Jul 14, 2021
Ashudeep Singh, David Kempe, Thorsten Joachims

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* Preprint under submission. 19 pages, 4 figures

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