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Disambiguation of "Sugiyama, Masashi"

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Are Anchor Points Really Indispensable in Label-Noise Learning?

, , , , , , and . NeurIPS, page 6835-6846. (2019)

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Masashi Urabe

Masashi Egawa

Akane Sugiyama

Masashi Haneda

 

Other publications of authors with the same name

Learning Discrete Representations via Information Maximizing Self-Augmented Training., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1558-1567. PMLR, (2017)Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 204-212. PMLR, (2017)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 669-677. JMLR.org, (2014)Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density., , and . ECML/PKDD (3), volume 8726 of Lecture Notes in Computer Science, page 19-34. Springer, (2014)Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries., , , , , , , , , and 9 other author(s). KDD, page 1681-1690. ACM, (2015)Active Feature Acquisition with Supervised Matrix Completion., , , , , and . KDD, page 1571-1579. ACM, (2018)Computationally efficient multi-label classification by least-squares probabilistic classifier., , and . ICASSP, page 2077-2080. IEEE, (2012)Efficient Reuse of Previous Experiences to Improve Policies in Real Environment., , , , , and . CoRR, (2014)A Least-squares Approach to Direct Importance Estimation., , and . J. Mach. Learn. Res., (2009)On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data., , , and . ICLR (Poster), OpenReview.net, (2019)