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Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning.

, , , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 229-245. Springer, (2019)

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A Multiclass Classification Approach to Label Ranking., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1421-1430. PMLR, (2020)Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 784-792. PMLR, (2021)On Tree-Based Methods for Similarity Learning., and . LOD, volume 11943 of Lecture Notes in Computer Science, page 676-688. Springer, (2019)Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking., , and . CoRR, (2020)Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling., , , and . ESANN, page 515-520. (2020)Visual Recognition with Deep Learning from Biased Image Datasets., , and . CoRR, (2021)Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning, , , , and . (2019)Ordonnancement par similarité pour la biométrie : théorie et pratique. (Similarity ranking for biometrics : theory and practice).. Polytechnic Institute of Paris, France, (2020)Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling., , , and . CoRR, (2020)Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning., , , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 229-245. Springer, (2019)