Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Efficient bandwidth allocation and low delays remain important goals, expecially in high-speed networks. Existing end-to-end congestion control schemes (such as TCP+AQM/RED) have s...
A. Durresi, P. Kandikuppa, M. Sridharan, S. Chella...
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Motivated by several marketplace applications on rapidly growing online social networks, we study the problem of efficient offline matching algorithms for online exchange markets....