We provide a new framework for establishing strong lower bounds on the nonnega- tive rank of matrices by means of common information, a notion previously introduced in Wyner [1975]. Common information is a natural lower bound for the nonnegative rank of a matrix and by combining it with Hellinger distance ... more >>>

Local algorithms on graphs are algorithms that run in parallel on the nodes of a graph to compute some global structural feature of the graph. Such algorithms use only local information available at nodes to determine local aspects of the global structure, while also potentially using some randomness. Recent research ... more >>>

An approximate computation of a Boolean function by a circuit or switching network is a computation which computes the function correctly on the majority of the inputs (rather than on all inputs). Besides being interesting in their own right, lower bounds for approximate computation have proved useful in many subareas ... more >>>