2 citations · 2 across the 4 of their papers we have counts for
4 papers
-Center Clustering in Distributed Models
Leyla Biabani, Ami Paz
The -center problem is a central optimization problem with numerous applications for machine learning, data mining, and communication networks. Despite extensive study in variou…
Dynamic Non-monotone Submodular Maximization
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi +3
Maximizing submodular functions has been increasingly used in many applications of machine learning, such as data summarization, recommendation systems, and feature selection. More…
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi +3
Maximizing a monotone submodular function under cardinality constraint is a core problem in machine learning and database with many basic applications, including video and data…
-Center Clustering with Outliers in the MPC and Streaming Model
Mark de Berg, Leyla Biabani, Morteza Monemizadeh
Given a point set of size in a metric space of doubling dimension and two parameters and , the -center problem with out…