Introduction to derivative-free optimization AR Conn, K Scheinberg, LN Vicente Siam, 2009 | 1416 | 2009 |

Efficient SVM training using low-rank kernel representations S Fine, K Scheinberg Journal of Machine Learning Research 2 (Dec), 243-264, 2001 | 703 | 2001 |

Recent progress in unconstrained nonlinear optimization without derivatives AR Conn, K Scheinberg, PL Toint Mathematical programming 79 (1-3), 397, 1997 | 317 | 1997 |

Fast alternating linearization methods for minimizing the sum of two convex functions D Goldfarb, S Ma, K Scheinberg Mathematical Programming 141 (1-2), 349-382, 2013 | 242 | 2013 |

On the convergence of derivative-free methods for unconstrained optimization AR Conn, K Scheinberg, PL Toint Approximation theory and optimization: tributes to MJD Powell, 83-108, 1997 | 226 | 1997 |

Global convergence of general derivative-free trust-region algorithms to first-and second-order critical points AR Conn, K Scheinberg, LN Vicente SIAM Journal on Optimization 20 (1), 387-415, 2009 | 203 | 2009 |

Sparse inverse covariance selection via alternating linearization methods K Scheinberg, S Ma, D Goldfarb Advances in neural information processing systems, 2101-2109, 2010 | 175 | 2010 |

Efficient block-coordinate descent algorithms for the group lasso Z Qin, K Scheinberg, D Goldfarb Mathematical Programming Computation 5 (2), 143-169, 2013 | 160 | 2013 |

A derivative free optimization algorithm in practice A Conn, K Scheinberg, P Toint 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and …, 1998 | 145 | 1998 |

Geometry of interpolation sets in derivative free optimization AR Conn, K Scheinberg, LN Vicente Mathematical programming 111 (1-2), 141-172, 2008 | 123 | 2008 |

SARAH: A novel method for machine learning problems using stochastic recursive gradient LM Nguyen, J Liu, K Scheinberg, M Takáč Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 122 | 2017 |

Interior point trajectories in semidefinite programming D Goldfarb, K Scheinberg SIAM Journal on Optimization 8 (4), 871-886, 1998 | 107 | 1998 |

An efficient implementation of an active set method for SVMs K Scheinberg Journal of Machine Learning Research 7 (Oct), 2237-2257, 2006 | 106 | 2006 |

Self-correcting geometry in model-based algorithms for derivative-free unconstrained optimization K Scheinberg, PL Toint SIAM Journal on Optimization 20 (6), 3512-3532, 2010 | 79 | 2010 |

A derivative-free algorithm for least-squares minimization H Zhang, AR Conn, K Scheinberg SIAM Journal on Optimization 20 (6), 3555-3576, 2010 | 79 | 2010 |

Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation AR Conn, K Scheinberg, LN Vicente IMA journal of numerical analysis 28 (4), 721-748, 2008 | 73 | 2008 |

Duality and optimality conditions A Shapiro, K Scheinberg Handbook of semidefinite programming, 67-110, 2000 | 66 | 2000 |

Block coordinate descent methods for semidefinite programming Z Wen, D Goldfarb, K Scheinberg Handbook on semidefinite, conic and polynomial optimization, 533-564, 2012 | 62 | 2012 |

Convergence of trust-region methods based on probabilistic models AS Bandeira, K Scheinberg, LN Vicente SIAM Journal on Optimization 24 (3), 1238-1264, 2014 | 57 | 2014 |

Practical inexact proximal quasi-Newton method with global complexity analysis K Scheinberg, X Tang Mathematical Programming 160 (1-2), 495-529, 2016 | 56 | 2016 |