We consider truthful online auctions that aim at optimizing sellers’ revenues, representing service contributors’ satisfactions, as a general model for pricing peer-to-peer se...
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
We study a class of generalized bundle methods for which the stabilizing term can be any closed convex function satisfying certain properties. This setting covers several algorithm...
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
We study large-scale service systems with multiple customer classes and many statistically identical servers. The following question is addressed: How many servers are required (s...