論文

• Sugiyama, M., Gang, N., Yamada, M., Kimura, M., & Hachiya, H.. Information-maximization clustering based on squared-loss mutual information, Neural Computation, 2013.
• Niu, G., Dai, B., Shang, L., Sugiyama, M.. Maximum volume clustering:A new discriminative clustering approach, Journal of Machine Learnning Research, 2013.
• Zhao, T., Hachiya, H., Niu, G., Sugiyama, M.. Analysis and improvement of policy gradient estimation, Neural Networks, vol. 26, pp. 118-129, 2012.

国際会議発表 (査読有り)

• Gang Niu, B Dai, Hirotaka Hachiya, Masashi Sugiyama, Wittawat Jitkrittum. Squared-loss mutual information regularization, ICML2013,JMLR Workshop and Conference, In S.Dasgupta and D.McAllester(Eds.), pp. 10-18, 2013.
• Niu, G., Jitkrittum, W., Hachiya, H., Dai, B., Sugiyama, M.. Squared-loss mutual information regularization., IBISML2011, IEICE Technical Report, IBISML2011-108, pp. 147-153, Mar. 2012.

国内会議発表 (査読有り)

• Niu, G., Dai, B., Shang, L., Sugiyama, M.. Maximum volume clustering, the Second Asian Conference on Machine Learning (ACML2010),, Mar. 2011.

国際会議発表 (査読なし・不明)

• Niu, G., Dai, B., Yamada, M., Sugiyama, M.. Information-theoretic semi-supervised metric learing via entropy regularization., 29th International Conference on Machine Learning(ICML2012), Proceedings of 29th International Conference on Machine Learning(ACML2012), J.Langford,J.Pineau(EDS.), pp. 89-96, Aug. 2012.
• Yamada, M., Niu, G., Takagi, J., Sugiyama, M.. Computationally efficient sufficient dimension reduction via squared-loss mutual information., the Third Asian Conference on Machine Learning (ACML2011), JMLR Workshop and Conference Proceedings, the Third Asian Conference on Machine Learning (ACML2011), JMLR Workshop and Conference Proceedings, vol. 20, pp. 247-262, Feb. 2012.
• Zhao, T., Hachiya, H., Niu, G., Sugiyama, M. Analysis and improvement of policy gradient estimation., Neural Information Processing Systems (NIPS2011),, Advances in Neural Information Processing Systems 24, J. Shawe-Taylor, R. S. Zemel, P. Bartlett, F. C. N. Pereira, and K. Q. Weinberger, pp. 262-270, Dec. 2011.

国内会議発表 (査読なし・不明)

• Zhao, T., Hachiya, H., Niu, G., Sugiyama, M.. Analysis and improvement of policy gradient estimation., IBISML2011, IEICE Technical Report, IBISML2011-12, pp. .83-89,, Feb. 2012.
• Yamada, M., Niu, G., Takagi, J., Sugiyama, M.. Sufficient component analysis for supervised dimension reduction., The 5th International Workshop on Data-Mining and Statistical Science (DMSS2011),, Feb. 2012.
• Niu, G., Dai, B., Yamada, M., Sugiyama, M.. SERAPH: Semi-supervised metric learning paradigm with hyper sparsity., IBISML2011, IEICE Technical Report, IBISML2011-8, June 2011.
• Niu, G., Dai, B., Shang, L., Sugiyama, M.. Maximum volume clustering., The 5th International Workshop on Data-Mining and Statistical Science (DMSS2011),, Mar. 2011.

学位論文

• Discriminative Methods with Imperfect Supervision in Machine Learning,  Thesis,  Doctor (Engineering),  Tokyo Institute of Technology,  2013/09/25,   
• Discriminative Methods with Imperfect Supervision in Machine Learning,  Exam Summary,  Doctor (Engineering),  Tokyo Institute of Technology,  2013/09/25,   
• Discriminative Methods with Imperfect Supervision in Machine Learning,  Summary,  Doctor (Engineering),  Tokyo Institute of Technology,  2013/09/25,   

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