The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese
This paper proposes a framework that provides significant speed-ups and also improves the effectiveness of general message passing algorithms based on dual LP relaxations. It is ap...
Distributed constraint optimization problems (DCOPs) are a popular way of formulating and solving agent-coordination problems. It is often desirable to solve DCOPs optimally with m...
Abstract. As one simple type of statistical inference problems we consider Most Likely Solution problem, a task of finding a most likely solution (MLS in short) for a given proble...
We present a distributed index data structure and algorithms devised to support parallel query processing of multimedia content in search engines. We present a comparative study wi...