Kirthevasan Kandasamy

Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

2016 · arXiv (Cornell University)

High dimensional nonparametric regression is an inherently difficult problem with known lower bounds depending exponentially in dimension. A popular strategy to alleviate this curse of dimensionality has been to use additive models of \emph{first order}, …