Quartz: Randomized dual coordinate ascent with arbitrary sampling Z Qu, P Richtárik, T Zhang Advances in neural information processing systems, 865-873, 2015 | 105 | 2015 |

Even faster accelerated coordinate descent using non-uniform sampling Z Allen-Zhu, Z Qu, P Richtárik, Y Yuan International Conference on Machine Learning, 1110-1119, 2016 | 100 | 2016 |

Coordinate descent with arbitrary sampling I: Algorithms and complexity Z Qu, P Richtárik Optimization Methods and Software 31 (5), 829-857, 2016 | 99 | 2016 |

Stochastic dual coordinate ascent with adaptive probabilities D Csiba, Z Qu, P Richtárik International Conference on Machine Learning, 674-683, 2015 | 62 | 2015 |

Coordinate descent with arbitrary sampling II: Expected separable overapproximation Z Qu, P Richtárik Optimization Methods and Software 31 (5), 858-884, 2016 | 59 | 2016 |

SDNA: stochastic dual Newton ascent for empirical risk minimization Z Qu, P Richtárik, M Takác, O Fercoq International Conference on Machine Learning, 1823-1832, 2016 | 59 | 2016 |

Fast distributed coordinate descent for non-strongly convex losses O Fercoq, Z Qu, P Richtárik, M Takáč 2014 IEEE International Workshop on Machine Learning for Signal Processing c, 2014 | 54 | 2014 |

Restarting accelerated gradient methods with a rough strong convexity estimate O Fercoq, Z Qu arXiv preprint arXiv:1609.07358, 2016 | 37 | 2016 |

Curse of dimensionality reduction in max-plus based approximation methods: Theoretical estimates and improved pruning algorithms S Gaubert, W McEneaney, Z Qu 2011 50th IEEE Conference on Decision and Control and European Control c, 2011 | 33 | 2011 |

Semi-stochastic coordinate descent J Konečný, Z Qu, P Richtárik optimization Methods and Software 32 (5), 993-1005, 2017 | 32 | 2017 |

Adaptive restart of accelerated gradient methods under local quadratic growth condition O Fercoq, Z Qu IMA Journal of Numerical Analysis 39 (4), 2069-2095, 2019 | 17 | 2019 |

Dobrushinfs ergodicity coefficient for Markov operators on cones S Gaubert, Z Qu Integral Equations and Operator Theory 81 (1), 127-150, 2015 | 13 | 2015 |

Contraction of Riccati Flows Applied to the Convergence Analysis of a Max-Plus Curse-of-Dimensionality--Free Method Z Qu SIAM Journal on Control and Optimization 52 (5), 2677-2706, 2014 | 11 | 2014 |

The contraction rate in Thompson's part metric of order-preserving flows on a cone–Application to generalized Riccati equations S Gaubert, Z Qu Journal of Differential Equations 256 (8), 2902-2948, 2014 | 11 | 2014 |

S2cd: Semi-stochastic coordinate descent J Konecný, Z Qu, P Richtárik NIPS Optimization in Machine Learning workshop, 2014 | 8 | 2014 |

SAGA with arbitrary sampling X Qian, Z Qu, P Richtárik arXiv preprint arXiv:1901.08669, 2019 | 5 | 2019 |

Restarting the accelerated coordinate descent method with a rough strong convexity estimate O Fercoq, Z Qu arXiv preprint arXiv:1803.05771, 2018 | 5 | 2018 |

Bundle-based pruning in the max-plus curse of dimensionality free method S Gaubert, Z Qu, S Sridharan arXiv preprint arXiv:1402.1436, 2014 | 5 | 2014 |

Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity. e-print, 2014 Z Qu, P Richtarik arXiv preprint arXiv:1412.8060, 0 | 5 | |

A max-plus based randomized algorithm for solving a class of HJB PDEs Z Qu 53rd IEEE Conference on Decision and Control, 1575-1580, 2014 | 4 | 2014 |