Computational Optimization and Applications
Convex Quadratic Approximation
Computational Optimization and Applications
A refined theorem concerning the conditioning of semidefinite programs
Journal of Applied Mathematics and Computing
Local Duality of Nonlinear Semidefinite Programming
Mathematics of Operations Research
SimpleNPKL: simple non-parametric kernel learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Correlation stress testing for value-at-risk: an unconstrained convex optimization approach
Computational Optimization and Applications
Calibrating Least Squares Semidefinite Programming with Equality and Inequality Constraints
SIAM Journal on Matrix Analysis and Applications
Duality Gap Estimation of Linear Equality Constrained Binary Quadratic Programming
Mathematics of Operations Research
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
SIAM Journal on Optimization
Generic Optimality Conditions for Semialgebraic Convex Programs
Mathematics of Operations Research
A Family of Simple Non-Parametric Kernel Learning Algorithms
The Journal of Machine Learning Research
A Newton-like method for solving rank constrained linear matrix inequalities
Automatica (Journal of IFAC)
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
SIAM Journal on Optimization
An admissible dual internal point method for a linear semidefinite programming problem
Automation and Remote Control
A projected semismooth Newton method for problems of calibrating least squares covariance matrix
Operations Research Letters
A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem
SIAM Journal on Optimization
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