Citing PyGRANSO
========================

If you publish work that uses or refers to PyGRANSO, please cite the following two papers,
which respectively introduced PyGRANSO and GRANSO:

*[1] Buyun Liang, Tim Mitchell, and Ju Sun,
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning, 
arXiv preprint arXiv:2210.00973 (2022).*
Available at https://arxiv.org/abs/2210.00973

*[2] Frank E. Curtis, Tim Mitchell, and Michael L. Overton,
A BFGS-SQP method for nonsmooth, nonconvex, constrained
optimization and its evaluation using relative minimization
profiles, Optimization Methods and Software, 32(1):148-181, 2017.*
Available at https://dx.doi.org/10.1080/10556788.2016.1208749  

BibTex::

    @article{liang2022ncvx,
        title={{NCVX}: {A} General-Purpose Optimization Solver for Constrained Machine and Deep Learning}, 
        author={Buyun Liang, Tim Mitchell, and Ju Sun},
        year={2022},
        eprint={2210.00973},
        archivePrefix={arXiv},
        primaryClass={cs.LG}
    }
    
    @article{curtis2017bfgssqp,
        title={A {BFGS-SQP} method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles},
        author={Frank E. Curtis, Tim Mitchell, and Michael L. Overton},
        journal={Optimization Methods and Software},
        volume={32},
        number={1},
        pages={148--181},
        year={2017},
        publisher={Taylor \& Francis}
    }

If you publish work that uses or refers to PyGRANSO as a universal DL-robustness evaluation solver, please cite the following paper:

*[3] Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, and Ju Sun,
Optimization for Robustness Evaluation beyond* :math:`\ell_p` *Metrics, arXiv preprint arXiv:2210.00621 (2022).*
Available at https://arxiv.org/abs/2210.00621

BibTex::

    @article{liang2022optimization,
        title={Optimization for Robustness Evaluation beyond $\ell_p$ Metrics}, 
        author={Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, and Ju Sun},
        year={2022},
        eprint={2210.00621},
        archivePrefix={arXiv},
        primaryClass={cs.LG}
    }