Large scale $\ell_1 $-regularized loss minimization problems arise in numerous applications
such as compressed sensing and high dimensional supervised learning, including …

We present a generic framework for parallel coordinate descent (CD) algorithms that includes,
as special cases, the original sequential algorithms Cyclic CD and Stochastic CD, as well …

This work presents results relating to estimation and hypothesis testing problems for multivariate
normal distributions that are invariant under circular permutations of an index family. …

The resurgence of current and upcoming multithreaded architectures and programming
models led us to conduct a detailed study to understand the potential of these platforms to …

Probabilistic programming and statistical computing are vibrant areas in the development of
the Julia programming language, but the underlying infrastructure dramatically predates …

Two of the most commonly used hashing strategies-linear probing and hashing with
chaining-are adapted for efficient execution on a Cray XMT. These strategies are designed to …

Many common distributional families take the form of exponential families. The functional
form of the conditional densities of these families gives them convenient compositional …

This paper describes our early experiences with a pre- production Cray XMT system that
implements a scalable shared memory architecture with hardware support for multithreading. …

To effectively identify and respond to cyber threats, computer security analysts must understand
the scale, motivation, methods, source, and target of an attack. Central to developing this …

Quantitative information flow (QIF) is concerned with measuring how much of a secret is
leaked to an adversary who observes the result of a computation that uses it. Prior work has …