We study the problem of causal structure learning from data using optima...
In this paper we address the problem of testing whether two observed tre...
For a very broad range of problems, recommendation algorithms have been
...
Motivated by alignment of correlated sparse random graphs, we study a
hy...
Random graph alignment refers to recovering the underlying vertex
corres...
We study the fundamental limits for reconstruction in weighted graph (or...
In this paper we consider alignment of sparse graphs, for which we intro...