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Latent feature models for dyadic prediction /.. University of California, San Diego, USA, (2013)base-search.net (ftcdlib:qt4xw874p5).Textual Features for Programming by Example, , , , и . CoRR, (2012)Linking losses for density ratio and class-probability estimation., и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 304-313. JMLR.org, (2016)On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance., , , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 603-611. JMLR.org, (2013)The cost of fairness in binary classification., и . FAT, том 81 из Proceedings of Machine Learning Research, стр. 107-118. PMLR, (2018)AutoRec: Autoencoders Meet Collaborative Filtering., , , и . WWW (Companion Volume), стр. 111-112. ACM, (2015)Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes., и . CIKM, стр. 2207-2210. ACM, (2017)ResMem: Learn what you can and memorize the rest., , , , , , , и . CoRR, (2023)Complementary-Label Learning for Arbitrary Losses and Models., , , и . CoRR, (2018)A scaled Bregman theorem with applications., , и . NIPS, стр. 19-27. (2016)