Support vector machines based on convex risk functions and general norms

Robust chance-constrained support vector machines with second-order moment information

(2015) Ximing Wang et al.   ANNALS OF OPERATIONS RESEARCH

Two pairs of families of polyhedral norms versus $$\ell _p$$ ℓ p -norms: proximity and applications in optimization

(2015) Jun-ya Gotoh et al.   MATHEMATICAL PROGRAMMING

CVaR norm and applications in optimization

(2014) Konstantin Pavlikov et al.   Optimization Letters

A Unified Classification Model Based on Robust Optimization

(2012) Akiko Takeda et al.   NEURAL COMPUTATION

Robust ν-support vector machine based on worst-case conditional value-at-risk minimization

(2011) Yongqiao Wang   OPTIMIZATION METHODS & SOFTWARE

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences