Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Because changes to the database (DB) and workload occur during a DB system's lifetime, the physical DB design must evolve to sustain good performance. These changes are carri...
Over the past decade the number of processors in the high performance facilities went up to hundreds of thousands. As a direct consequence, while the computational power follow th...
Aurelien Bouteiller, George Bosilca, Jack Dongarra
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
In commonplace text-based password schemes, users typically choose passwords that are easy to recall, exhibit patterns, and are thus vulnerable to brute-force dictionary attacks. ...