In this paper, we describe our entrant in the travel division of the 2006 Trading Agent Competition (TAC). At a high level, the design of many successful autonomous trading agents...
Seong Jae Lee, Amy R. Greenwald, Victor Naroditski...
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
The Internet has led to the development of on-line markets, and computer scientists have designed various auction algorithms, as well as automated exchanges for standardized commo...
Abstract. Due to the few computing resource planning options currently available in Grid computing, capacity planning, an old discipline for analyzing resource purchases, is simple...
We present a general framework for approximating several NP-hard problems that have two underlying properties in common. First, the problems we consider can be formulated as intege...