It is well known that Empirical Risk Minimization (ERM) with squared los...
Tyler's and Maronna's M-estimators, as well as their regularized variant...
We study the computational aspects of the task of multivariate convex
re...
We study the minimal error of the Empirical Risk Minimization (ERM) proc...
Answering multiple counting queries is one of the best-studied problems ...
We develop a technique for establishing lower bounds on the sample compl...
The least squares estimator (LSE) is shown to be suboptimal in squared e...
We study the problem of learning a d-dimensional log-concave distributio...
We show that fundamental learning tasks, such as finding an approximate
...