This talk is centered around trend filtering, a relatively recent method for nonparametric regresson based on penalizing the L1 norm of discrete derivatives. We will discuss some of the unique features of this method that "make it work", and briefly cover extensions to additive models and graphs. We will finish by discussing connections to what are an old topic in numerical analysis---discrete...