Newton-like methods for sparse inverse covariance estimation F Oztoprak, J Nocedal, S Rennie, PA Olsen Advances in neural information processing systems 25, 2012 | 138 | 2012 |

An inexact successive quadratic approximation method for L-1 regularized optimization RH Byrd, J Nocedal, F Oztoprak Mathematical Programming 157 (2), 375-396, 2016 | 104 | 2016 |

A family of second-order methods for convex -regularized optimization RH Byrd, GM Chin, J Nocedal, F Oztoprak Mathematical Programming 159, 435-467, 2016 | 63 | 2016 |

An interior point method for nonlinear programming with infeasibility detection capabilities J Nocedal, F Öztoprak, RA Waltz Optimization Methods and Software 29 (4), 837-854, 2014 | 52 | 2014 |

On the numerical performance of derivative-free optimization methods based on finite-difference approximations HJM Shi, MQ Xuan, F Oztoprak, J Nocedal arXiv preprint arXiv:2102.09762, 2021 | 31 | 2021 |

A second-order method for convex _{1}-regularized optimization with active-set predictionN Keskar, J Nocedal, F Öztoprak, A Waechter Optimization Methods and Software 31 (3), 605-621, 2016 | 31 | 2016 |

On the numerical performance of finite-difference-based methods for derivative-free optimization HJM Shi, M Qiming Xuan, F Oztoprak, J Nocedal Optimization Methods and Software 38 (2), 289-311, 2023 | 20 | 2023 |

Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies FB Aydemir, A Günay, F Öztoprak, Şİ Birbil, P Yolum Journal of Global Optimization 57, 499-519, 2013 | 14 | 2013 |

Constrained optimization in the presence of noise F Oztoprak, R Byrd, J Nocedal SIAM Journal on Optimization 33 (3), 2118-2136, 2023 | 13 | 2023 |

Parallel stochastic gradient Markov Chain Monte Carlo for matrix factorisation models U Şimşekli, H Koptagel, H Güldaş, AT Cemgil, F Öztoprak, Şİ Birbil arXiv preprint arXiv:1506.01418, 2015 | 12 | 2015 |

MANGO: A multiagent environment for global optimization L Kerçelli, A Sezer, F Öztoprak, SI Birbil, P Yolum First International Workshop on Optimisation in Multi-Agent Systems, 2008 | 9 | 2008 |

A symmetric rank-one quasi-Newton line-search method using negative curvature directions F Öztoprak, Şİ Birbil Optimization Methods and Software 26 (3), 455-486, 2011 | 8 | 2011 |

Solving global optimization problems using MANGO A Günay, F Öztoprak, Şİ Birbil, P Yolum KES International Symposium on Agent and Multi-Agent Systems: Technologies …, 2009 | 5 | 2009 |

A framework for parallel second order incremental optimization algorithms for solving partially separable problems K Kaya, F Öztoprak, Şİ Birbil, AT Cemgil, U Şimşekli, N Kuru, H Koptagel, ... Computational Optimization and Applications 72, 675-705, 2019 | 4 | 2019 |

An alternative globalization strategy for unconstrained optimization F Öztoprak, Şİ Birbil Optimization 67 (3), 377-392, 2018 | 3 | 2018 |

On the improvement of a scalable sparse direct solver for unsymmetrical linear equations MS Celebi, A Duran, F Oztoprak, M Tuncel, B Akaydin The Journal of Supercomputing 73, 1852-1904, 2017 | 3 | 2017 |

Structural analysis of large sparse matrices for scalable direct solvers A Duran, MS Celebi, M Tuncel, F Oztoprak PRACE PN 283493, 2013 | 3 | 2013 |

Parallel algorithms for nonlinear optimization F Öztoprak | 3 | 2011 |

Implementation of a fixing strategy and parallelization in a recent global optimization method F Öztoprak, Şİ Birbil Elsevier, 2008 | 2 | 2008 |

HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems K Kaya, F Öztoprak, Şİ Birbil, AT Cemgil, U Şimşekli, N Kuru, H Koptagel, ... arXiv preprint arXiv:1509.01698, 2015 | 1 | 2015 |