142 citations · 600 across the 47 of their papers we have counts for
5 papers · 1 filter
Decentralized Deep Scheduling for Interference Channels
Paul de Kerret, David Gesbert, Maurizio Filippone
In this paper, we study the problem of decentralized scheduling in Interference Channels (IC). In this setting, each Transmitter (TX) receives an arbitrary amount of feedback regar…
Pseudo-extended Markov chain Monte Carlo
Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone +1
Sampling from posterior distributions using Markov chain Monte Carlo (MCMC) methods can require an exhaustive number of iterations, particularly when the posterior is multi-modal a…
Entropic Trace Estimates for Log Determinants
Jack Fitzsimons, Diego Granziol, Kurt Cutajar +3
The scalable calculation of matrix determinants has been a bottleneck to the widespread application of many machine learning methods such as determinantal point processes, Gaussian…
Bayesian Inference of Log Determinants
Jack Fitzsimons, Kurt Cutajar, Michael Osborne +2
The log-determinant of a kernel matrix appears in a variety of machine learning problems, ranging from determinantal point processes and generalized Markov random fields, through t…
Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation
Marco Lorenzi, Maurizio Filippone, Daniel C. Alexander +1
The development of statistical approaches for the joint modelling of the temporal changes of imaging, biochemical, and clinical biomarkers is of paramount importance for improving…