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Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric
28 January 2019
Yongchan Kwon
Wonyoung Hedge Kim
Masashi Sugiyama
M. Paik
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Papers citing
"Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric"
15 / 15 papers shown
Title
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Positive-Unlabeled Learning with Non-Negative Risk Estimator
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Gang Niu
M. C. D. Plessis
Masashi Sugiyama
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Class-prior Estimation for Learning from Positive and Unlabeled Data
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Gang Niu
Masashi Sugiyama
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05 Nov 2016
Efficient Training for Positive Unlabeled Learning
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F. D. De Natale
Zhi Zhou
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24 Aug 2016
Estimating the class prior and posterior from noisy positives and unlabeled data
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Martha White
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28 Jun 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
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M. C. D. Plessis
Tomoya Sakai
Yao Ma
Masashi Sugiyama
69
127
0
10 Mar 2016
Mixture Proportion Estimation via Kernel Embedding of Distributions
H. G. Ramaswamy
Clayton Scott
Ambuj Tewari
56
198
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08 Mar 2016
Loss factorization, weakly supervised learning and label noise robustness
Giorgio Patrini
Frank Nielsen
Richard Nock
M. Carioni
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155
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08 Feb 2016
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Gilles Blanchard
Marek Flaska
G. Handy
Sara Pozzi
Clayton Scott
NoLa
91
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05 Mar 2013
Agnostic Learning of Monomials by Halfspaces is Hard
Vitaly Feldman
V. Guruswami
P. Raghavendra
Yi Wu
96
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03 Dec 2010
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
224
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03 Mar 2010
Hilbert space embeddings and metrics on probability measures
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Arthur Gretton
Kenji Fukumizu
Bernhard Schölkopf
Gert R. G. Lanckriet
217
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30 Jul 2009
Fast learning rates for plug-in classifiers
Jean-Yves Audibert
Alexandre B. Tsybakov
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17 Aug 2007
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