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Semi-supervised ranking on very large graphs with rich metadata., , , , и . KDD, стр. 96-104. ACM, (2011)Knowledge-Powered Deep Learning for Word Embedding., , и . ECML/PKDD (1), том 8724 из Lecture Notes in Computer Science, стр. 132-148. Springer, (2014)Online learning for auction mechanism in bandit setting., , , и . Decis. Support Syst., (2013)Shot reconstruction degree: a novel criterion for key frame selection., , , и . Pattern Recognit. Lett., 25 (12): 1451-1457 (2004)Topic distillation via sub-site retrieval., , , , , и . Inf. Process. Manag., 43 (2): 445-460 (2007)Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator., , , и . CoRR, (2020)Preface., и . ACML, том 45 из JMLR Workshop and Conference Proceedings, стр. 7. JMLR.org, (2015)Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers., , , и . IEEE Trans. Pattern Anal. Mach. Intell., 41 (11): 2628-2643 (2019)Gradient Perturbation is Underrated for Differentially Private Convex Optimization., , , , и . IJCAI, стр. 3117-3123. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Future directions in learning to rank., , и . Yahoo! Learning to Rank Challenge, том 14 из JMLR Proceedings, стр. 91-100. JMLR.org, (2011)