In this paper, we give new auction algorithms for maximum weighted bipar...
Massive surges of enrollments in courses have led to a crisis in several...
In this paper, we propose a natural notion of individual preference (IP)...
We study the correlated stochastic knapsack problem of a submodular targ...
In this paper, we study the following batch scheduling model: find a sch...
Clustering is a foundational problem in machine learning with numerous
a...
In this paper, we study a primal and dual relationship about triangles: ...
Correlation clustering is a fundamental combinatorial optimization probl...
The coflow scheduling problem has emerged as a popular abstraction in th...
Clustering is a fundamental tool in data mining. It partitions points in...