BIRS Workshop Lecture Videos

Banff International Research Station Logo

BIRS Workshop Lecture Videos

Some new methods for robust high-dimensional classification Vert, Jean-Philippe


Learning predictive models from genomic data remains challenging due to the high dimensionality and the complexity of the data. I will discuss a few techniques that we have investigated recently to try to overcome some of the challenges: (1) the Kendall and Mallows kernels, which learn a predictive model based on pairwise comparisons between features, and (2) new atomic matrix norms, to learn models with particular sparsity structures such as disjoint support or sparse latent factors.

Item Media

Item Citations and Data


Attribution-NonCommercial-NoDerivatives 4.0 International