We introduce two throughput metrics referred to as flow- and time-sampled throughputs. The former gives the throughput statistics of an arbitrary flow while the latter weights t...
This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This nonlocal graph allows to adapt the penalization to t...
The paper presents a new sampling methodology for Bayesian networks that samples only a subset of variables and applies exact inference to the rest. Cutset sampling is a network s...