Links to suggested background documents/materials for the Thursday, Feb 15 Lecture:

 

Gert Lanckriet, Ph.D.

Sparse and large-scale learning with heterogeneous data

 

 

Recommended background reading:

1) Book chapter: http://cosmal.ucsd.edu/~gert/papers/book.pdf (it describes applications in bioinformatics and therefore introduces the machine learning quite smoothly; the details of the biology are not really relevant, so no need to understand all details there)

 

2) For the "sparse PCA" part of the talk: http://cosmal.ucsd.edu/~gert/papers/SIAMSparsePCA.pdf (don't worry if it gets too detailed: it should mainly help to introduce the problem)