Community detection is a fundamental network-analysis primitive with a
v...
Non-convex optimization problems have various important applications, wh...
Although application examples of multilevel optimization have already be...
Model extraction attacks have become serious issues for service provider...
We propose a new formulation of Multiple-Instance Learning (MIL), in whi...
Recent years have seen much research on fairness in machine learning. He...
We propose a new formulation of Multiple-Instance Learning (MIL). In typ...
Dense subgraph discovery is an important primitive in graph mining, whic...
Variable clustering is important for explanatory analysis. However, only...
We consider the problem of minimizing a difference-of-convex (DC) functi...
Robust Optimization has traditionally taken a pessimistic, or worst-case...
We consider a class of nonconvex nonsmooth optimization problems whose
o...
Density ratio estimation is a vital tool in both machine learning and
st...
In binary classification problems, mainly two approaches have been propo...