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Link Prediction via Matrix Factorization.

, and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 437-452. Springer, (2011)

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On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 603-611. JMLR.org, (2013)Linking losses for density ratio and class-probability estimation., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 304-313. JMLR.org, (2016)Complementary-Label Learning for Arbitrary Losses and Models., , , and . CoRR, (2018)ResMem: Learn what you can and memorize the rest., , , , , , , and . CoRR, (2023)Textual Features for Programming by Example, , , , and . CoRR, (2012)The cost of fairness in binary classification., and . FAT, volume 81 of Proceedings of Machine Learning Research, page 107-118. PMLR, (2018)Latent feature models for dyadic prediction /.. University of California, San Diego, USA, (2013)base-search.net (ftcdlib:qt4xw874p5).Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes., and . CIKM, page 2207-2210. ACM, (2017)A scaled Bregman theorem with applications., , and . NIPS, page 19-27. (2016)SupMMD: A Sentence Importance Model for Extractive Summarisation using Maximum Mean Discrepancy., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4108-4122. Association for Computational Linguistics, (2020)