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Marginalized Denoising for Link Prediction and Multi-Label Learning.

, , , and . AAAI, page 1707-1713. AAAI Press, (2015)

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Convex Optimizations for Distance Metric Learning and Pattern Classification Applications Corner., , and . IEEE Signal Process. Mag., 27 (3): 146-158 (2010)Spectral Methods for Dimensionality Reduction., , , , and . Semi-Supervised Learning, The MIT Press, (2006)Anytime Representation Learning., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1076-1084. JMLR.org, (2013)Learning with Marginalized Corrupted Features., , , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 410-418. JMLR.org, (2013)Bayesian Optimization with Inequality Constraints., , , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 937-945. JMLR.org, (2014)Transductive Minimax Probability Machine., , , and . ECML/PKDD (1), volume 8724 of Lecture Notes in Computer Science, page 579-594. Springer, (2014)Revisiting Meta-Learning as Supervised Learning., , , , and . CoRR, (2020)On Calibration of Modern Neural Networks, , , and . roceedings of the 34th International Conference on Machine Learning, 70, page 1321-1330. PMLR, (2017)An alternative text representation to TF-IDF and Bag-of-Words, , , and . CoRR, (2013)The Greedy Miser: Learning under Test-time Budgets., , and . ICML, icml.cc / Omnipress, (2012)