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All publications by Gang Niu
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Convex Formulation for Learning from Positive and Unlabeled Data
Marthinus D. Plessis, Gang Niu and Masashi Sugiyama
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Transductive Learning with Multi-class Volume Approximation
Gang Niu, Bo Dai, Christoffel D. Plessis and Masashi Sugiyama
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Analysis of Learning from Positive and Unlabeled Data
Marthinus Plessis, Gang Niu and Masashi Sugiyama
Advances in Neural Information Processing Systems 27, 2014


Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya and Masashi Sugiyama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Information-theoretic Semi-supervised Metric Learning via Entropy Regularization
Gang Niu, Bo Dai, Makoto Yamada and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao, Hirotaka Hachiya, Gang Niu and Masashi Sugiyama
Advances in Neural Information Processing Systems 24, 2011


Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang and Masashi Sugiyama
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011