Search Results for author: Morteza Monemizadeh

Found 2 papers, 0 papers with code

Dynamic Submodular Maximization

no code implementations NeurIPS 2020 Morteza Monemizadeh

Given a stream of inserts and deletes of elements of an underlying ground set $V$, we develop a dynamic algorithm that with high probability, maintains a $(\frac{1}{2} - \epsilon)$-approximation of a cardinality-constrained monotone submodular maximization for any sequence of $z$ updates (inserts and deletes) in time $O(k^2z\epsilon^{-3}\cdot \log^5 n)$, where $n$ is the maximum size of $V$ at any time.

Clustering Combinatorial Optimization +3

Cannot find the paper you are looking for? You can Submit a new open access paper.