33 citations · 57 across the 12 of their papers we have counts for
4 papers · 1 filter
Gaussian Processes for Survival Analysis
Tamara Fernández, Nicolás Rivera, Yee Whye Teh
We introduce a semi-parametric Bayesian model for survival analysis. The model is centred on a parametric baseline hazard, and uses a Gaussian process to model variations away from…
Fast plurality consensus in regular expanders
Colin Cooper, Tomasz Radzik, Nicolás Rivera +1
Pull voting is a classic method to reach consensus among vertices with differing opinions in a distributed network: each vertex at each step takes on the opinion of a random ne…
Discordant voting processes on finite graphs
Colin Cooper, Martin Dyer, Alan Frieze +1
We consider an asynchronous voting process on graphs which we call discordant voting, and which can be described as follows. Initially each vertex holds one of two opinions, red or…
The coalescing-branching random walk on expanders and the dual epidemic process
Colin Cooper, Tomasz Radzik, Nicolas Rivera
Information propagation on graphs is a fundamental topic in distributed computing. One of the simplest models of information propagation is the push protocol in which at each round…