While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
Dynamic power management schemes (also called policies) can be used to control the power consumption levels of electronic systems, by setting their components in different states,...
Giuseppe A. Paleologo, Luca Benini, Alessandro Bog...
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
John P. Cunningham, Krishna V. Shenoy, Maneesh Sah...
In this work we define and study a new model for the caching problem in a heterogeneous wireless network under a flash-crowd scenario. Using non-cooperative game theory, we cast t...
Pietro Michiardi, Carla-Fabiana Chiasserini, Claud...