We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
We consider the problem of determining whether a given set S in Rn is approximately convex, i.e., if there is a convex set K ∈ Rn such that the volume of their symmetric differe...
We consider the uplink power control problem in a single cell CDMA wireless data system. Each user specifies upper and lower QoS bounds. We formulate the considered problem as a g...
George Alyfantis, Stathes Hadjiefthymiades, Lazaro...
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
We introduce the parameter cutwidth for the Cutting Planes (CP) system of Gomory and Chv´atal. We provide linear lower bounds on cutwidth for two simple polytopes. Considering CP ...