Large neural models (such as Transformers) achieve state-of-the-art
perf...
Trend filtering is a modern approach to nonparametric regression that is...
We study a multivariate version of trend filtering, called Kronecker tre...
We present an extension of the Kolmogorov-Smirnov (KS) two-sample test, ...
We consider additive models built with trend filtering, i.e., additive m...
We consider the problem of estimating a function defined over n location...
We develop parallel and distributed Frank-Wolfe algorithms; the former o...