2 papers
cs.LG2024
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
Hongying Liu, Hao Wang, Haoran Chu +1
An unsolved issue in widely used methods such as Support Vector Data Description (SVDD) and Small Sphere and Large Margin SVM (SSLM) for anomaly detection is their nonconvexity, wh…
math.OC2021
Constrained Optimization Involving Nonconvex Norms: Optimality Conditions, Algorithm and Convergence
Hao Wang, Yining Gao, Jiashan Wang +1
This paper investigates the optimality conditions for characterizing the local minimizers of the constrained optimization problems involving an norm () of the varia…