Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

This project aims to reproduce the results of the paper titled "Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints," published in ICML, 2022. The main goal of the ...

Abstract: Set functions are functions (or signals) indexed by the powerset (set of all subsets) of a finite set N. They are fundamental and ubiquitous in many application domains and have been used, ...

Python is recognised for its versatility and simplicity, making it ideal for beginners. Comprehensive cheat sheets are available to assist learners in grasping Python concepts effectively. Resources ...

Learning how to define a function in Python is one of the most important steps to mastering the language. Functions are blocks of code that perform a specific task and can be “called” from any point ...

Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of submodular set functions. The property of submodularity, also referred to as a ...