We propose the first fast and certifiable algorithm for the registration of two sets of three-
dimensional (3-D) points in the presence of large amounts of outlier correspondences. A …

A function is called DC if it is expressible as the difference of two convex functions. In this
work, we present a short tutorial on difference-of-convex optimization surveying and …

Biomedical research is increasingly data rich, with studies comprising ever growing
numbers of features. The larger a study, the higher the likelihood that a substantial portion of …

LinRegOutliers is a Julia package that implements a number of outlier detection algorithms
for linear regression. The package also implements robust covariance matrix estimation and …

The problem of communicating sensor measurements over shared networks is prevalent in
many modern large-scale distributed systems such as cyber-physical systems, wireless …

This paper focuses on the application of a suite of simulation studies to assess wellknown
and contemporary outlier detection methods in linear regression. These simulations vary …

Modern regression studies often encompass a very large number of potential predictors,
possibly larger than the sample size, and sometimes growing with the sample size itself …

In this paper, an NP-hard problem of minimizing a sum of pointwise minima of two functions
is considered. Using a new equivalent formula, we propose a smooth approximation and an …

Často diskutovaným problémem ve strojovém učení je vysvětlitelnost neuronových sítí.
Neuronové sítě zaznamenaly v posledních letech masivní rozvoj–používají se v široké škále …