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All publications by Sayan Mukherjee
authors venues years

Supervised Dimension Reduction Using Bayesian Mixture Modeling
Kai Mao, Feng Liang and Sayan Mukherjee
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010

Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee and Feng Liang
Advances in Neural Information Processing Systems 21, 2008

Characterizing the Function Space for Bayesian Kernel Models
Natesh S. Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee and Robert L. Wolpert
Journal of Machine Learning Research, 2007

Learning Coordinate Covariances via Gradients
Sayan Mukherjee and Ding-xuan Zhou
Journal of Machine Learning Research, 2006

Estimation of Gradients and Coordinate Covariation in Classification
Sayan Mukherjee and Qiang Wu
Journal of Machine Learning Research, 2006