Qu Zheng
Title
Cited by
Cited by
Year
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
1402016
Coordinate descent with arbitrary sampling I: Algorithms and complexity
Z Qu, P Richtárik
Optimization Methods and Software 31 (5), 829-857, 2016
1152016
Quartz: Randomized dual coordinate ascent with arbitrary sampling
Z Qu, P Richtárik, T Zhang
Advances in neural information processing systems 28, 865-873, 2015
912015
Stochastic dual coordinate ascent with adaptive probabilities
D Csiba, Z Qu, P Richtárik
International Conference on Machine Learning, 674-683, 2015
902015
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
782016
Coordinate descent with arbitrary sampling II: Expected separable overapproximation
Z Qu, P Richtárik
Optimization Methods and Software 31 (5), 858-884, 2016
692016
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 …, 2014
602014
Restarting accelerated gradient methods with a rough strong convexity estimate
O Fercoq, Z Qu
arXiv preprint arXiv:1609.07358, 2016
472016
Semi-stochastic coordinate descent
J Konečný, Z Qu, P Richtárik
optimization Methods and Software 32 (5), 993-1005, 2017
462017
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 …, 2011
412011
Randomized dual coordinate ascent with arbitrary sampling
Z Qu, P Richtárik, T Zhang
arXiv preprint arXiv:1411.5873, 2014
352014
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
302019
Dobrushin’s ergodicity coefficient for Markov operators on cones
S Gaubert, Z Qu
Integral Equations and Operator Theory 81 (1), 127-150, 2015
172015
Restarting the accelerated coordinate descent method with a rough strong convexity estimate
O Fercoq, Z Qu
Computational Optimization and Applications 75 (1), 63-91, 2020
152020
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
152014
L-SVRG and L-Katyusha with arbitrary sampling
X Qian, Z Qu, P Richtárik
arXiv preprint arXiv:1906.01481, 2019
122019
SAGA with arbitrary sampling
X Qian, Z Qu, P Richtárik
International Conference on Machine Learning, 5190-5199, 2019
122019
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
122014
S2cd: Semi-stochastic coordinate descent
J Konecný, Z Qu, P Richtárik
NIPS Optimization in Machine Learning workshop, 2014
102014
Checking strict positivity of Kraus maps is NP-hard
S Gaubert, Z Qu
Information Processing Letters 118, 35-43, 2017
62017
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