Of interest here are linear data fitting problems with uncertain data which lie in a given uncertainty set. A robust counterpart of such a problem may be interpreted as the probl...
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
In this paper, we introduce and describe directed dependency graph-based transaction and concurrency control (DCC) for persistent (stable, single-level) object-based bulk data man...
This paper considers short-term energy management of a wind power plant with battery storage, in order to smooth the variations of power output to the external grid. An optimal on...
In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distanc...