Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction

author: Sayan Mukherjee, Department of Statistical Science, Duke University
published: Jan. 19, 2010,   recorded: December 2009,   views: 3927


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We study the problem of supervised dimension reduction from the perspective of learning vector valued functions and multi-task or hierarchical modeling in ai regularization framework. An algorithm is speci ed and empirical results are provided. In the second part of the talk the same problem of supervised dimension reduction for a hierarchical model is revisted from a non-parametric Bayesian perspective.

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Download slides icon Download slides: nipsworkshops09_mukherjee_bslvvfsdr_01.pdf (1.8┬áMB)

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