Research output per year
Research output per year
Search results
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2019
Bayesian joint estimation of multiple graphical models
Gan, L., Yang, X., Nariestty, N. N. & Liang, F., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
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2014
On a theory of nonparametric pairwise similarity for clustering: Connecting clustering to classification
Yang, Y., Liang, F., Yan, S., Wang, Z. & Huang, T. S., 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 145-153 9 p.Research output: Contribution to journal › Conference article › peer-review
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PAC-Bayesian AUC classification and scoring
Ridgway, J., Alquier, P., Chopin, N. & Liang, F., 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 658-666 9 p.Research output: Contribution to journal › Conference article › peer-review
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2013
Learning locally-adaptive decision functions for person verification
Li, Z., Chang, S., Liang, F., Huang, T. S., Cao, L. & Smith, J. R., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 3610-3617 8 p., 6619307.Research output: Contribution to journal › Conference article › peer-review
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2010
Supervised dimension reduction using Bayesian mixture modeling
Mao, K., Liang, F. & Mukherjee, S., 2010, In: Journal of Machine Learning Research. 9, p. 501-508 8 p.Research output: Contribution to journal › Conference article › peer-review
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2002
Exact minimax strategies for predictive density estimation, data compression and model selection
Liang, F. & Barron, A. R., 2002, In: IEEE International Symposium on Information Theory - Proceedings. p. 149 1 p.Research output: Contribution to journal › Conference article › peer-review