195 citations · 200 across the 4 of their papers we have counts for
4 papers · 1 filter
Distributed Bayesian Learning of Dynamic States
Mert Kayaalp, Virginia Bordignon, Stefan Vlaski +2
This work studies networked agents cooperating to track a dynamical state of nature under partial information. The proposed algorithm is a distributed Bayesian filtering algorithm…
Network Classifiers Based on Social Learning
Virginia Bordignon, Stefan Vlaski, Vincenzo Matta +1
This work proposes a new way of combining independently trained classifiers over space and time. Combination over space means that the outputs of spatially distributed classifiers…
Adaptation in Online Social Learning
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
This work studies social learning under non-stationary conditions. Although designed for online inference, classic social learning algorithms perform poorly under drifting conditio…
Social Learning with Partial Information Sharing
Virginia Bordignon, Vincenzo Matta, Ali H. Sayed
This work studies the learning abilities of agents sharing partial beliefs over social networks. The agents observe data that could have risen from one of several hypotheses and in…