: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP...
Archie C. Chapman, Alex Rogers, Nicholas R. Jennin...
Abstract In recent years, some approximate highdimensional indexing techniques have shown promising results by trading off quality guarantees for improved query performance. While ...
We address the problem of transferring information learned from experiments to a different environment, in which only passive observations can be collected. We introduce a formal ...
In this paper, we propose a variant of the conservativeupdate Count-Min sketch to further reduce the overestimation error incurred. Inspired by ideas from lossy counting, we divid...