Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Self-adjusting computation is an evaluation model in which programs can respond efficiently to small changes to their input data by using a change-propagation mechanism that updat...
Abstract— We consider the network control problem for wireless networks with flow level dynamics under the general k-hop interference model. In particular, we investigate the co...
— The decision feedback detector (DFD) can achieve the high spectral efficiency of a MIMO channel in that it converts the MIMO channel into multiple parallel layers, through whi...
This paper considers the problem of packet-mode scheduling of input queuedswitches. Packets have variable lengths, and are divided into cells of unit length. Each packet arrives t...