While naturally cast as a combinatorial optimization problem, variable or feature selection admits a convex relaxation through the regularization by the ℓ₁-norm. In this paper, we consider situations ...

Convex optimization is an increasingly important theme in applications. We consider the construction of a binary classification rule by minimizing the risk based on a convex loss as a surrogate to the ...

IEMS 459: Convex Optimization VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Linear Algebra, Calculus , Real Analysis Description The goal of this course is to investigate in-depth and to develop ...

This talk presents the latest developments on convex liftings, a tool belonging to the class of lift-and-project techniques with various applications in control engineering. According to the latest ...

Researchers from SJTU have developed a convex-optimization-based quantum process tomography method for reconstructing quantum channels, and have shown the validity to seawater channels and general ...