Works in Progress
- H. Ghanbari and K. Scheinberg. Global Convergence Rate of Incremental Proximal Quasi-Newton Methods For Large Scale Convex Optimization. (Work in progress).
Publications and Preprints
- H. Ghanbari and K. Scheinberg. Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers. 2018. arXiv preprint.
- H. Ghanbari and K. Scheinberg. Proximal Quasi-Newton Methods for Regularized Convex Optimization with Linear and Accelerated Sublinear Convergence Rates. Computational Optimization and Applications Journal. 2017.
- H. Ghanbari and K. Scheinberg. Black-Box Optimization in Machine Learning with Trust Region Based Derivative-Free Algorithm. 2017. arXiv preprint.