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Zheng Qu 0001
Person information
- affiliation: University of Hong Kong, Department of Mathematics, Hong Kong
- affiliation (former): University of Edinburgh, UK
Other persons with the same name
- Zheng Qu — disambiguation page
- Zheng Qu 0002 — University of California, Santa Barbara, CA, USA (and 1 more)
- Zheng Qu 0003 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Zheng Qu 0004 — University of Colorado, Boulder, CO, USA
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2020 – today
- 2022
- [j11]Marianne Akian, Stéphane Gaubert, Zheng Qu, Omar Saadi:
Multiply Accelerated Value Iteration for NonSymmetric Affine Fixed Point Problems and Application to Markov Decision Processes. SIAM J. Matrix Anal. Appl. 43(1): 199-232 (2022) - 2021
- [j10]Xun Qian, Zheng Qu, Peter Richtárik:
L-SVRG and L-Katyusha with Arbitrary Sampling. J. Mach. Learn. Res. 22: 112:1-112:47 (2021) - [j9]Fei Li, Zheng Qu:
An inexact proximal augmented Lagrangian framework with arbitrary linearly convergent inner solver for composite convex optimization. Math. Program. Comput. 13(3): 583-644 (2021) - 2020
- [j8]Olivier Fercoq, Zheng Qu:
Restarting the accelerated coordinate descent method with a rough strong convexity estimate. Comput. Optim. Appl. 75(1): 63-91 (2020)
2010 – 2019
- 2019
- [c11]Marianne Akian, Stéphane Gaubert, Zheng Qu, Omar Saadi:
Solving Ergodic Markov Decision Processes and Perfect Information Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration. CDC 2019: 5963-5970 - [c10]Xun Qian, Zheng Qu, Peter Richtárik:
SAGA with Arbitrary Sampling. ICML 2019: 5190-5199 - [i12]Xun Qian, Zheng Qu, Peter Richtárik:
SAGA with Arbitrary Sampling. CoRR abs/1901.08669 (2019) - 2018
- [j7]Yassamine Seladji, Zheng Qu:
Polyhedron over-approximation for complexity reduction in static analysis. Int. J. Comput. Math. Comput. Syst. Theory 3(4): 215-229 (2018) - 2017
- [j6]Stéphane Gaubert, Zheng Qu:
Checking strict positivity of Kraus maps is NP-hard. Inf. Process. Lett. 118: 35-43 (2017) - [j5]Jakub Konecný, Zheng Qu, Peter Richtárik:
Semi-stochastic coordinate descent. Optim. Methods Softw. 32(5): 993-1005 (2017) - 2016
- [j4]Stéphane Gaubert, Zheng Qu, Srinivas Sridharan:
Maximizing concave piecewise affine functions on the unitary group. Optim. Lett. 10(4): 655-665 (2016) - [j3]Zheng Qu, Peter Richtárik:
Coordinate descent with arbitrary sampling I: algorithms and complexity. Optim. Methods Softw. 31(5): 829-857 (2016) - [j2]Zheng Qu, Peter Richtárik:
Coordinate descent with arbitrary sampling II: expected separable overapproximation. Optim. Methods Softw. 31(5): 858-884 (2016) - [c9]Zeyuan Allen Zhu, Zheng Qu, Peter Richtárik, Yang Yuan:
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. ICML 2016: 1110-1119 - [c8]Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq:
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. ICML 2016: 1823-1832 - 2015
- [c7]Dominik Csiba, Zheng Qu, Peter Richtárik:
Stochastic Dual Coordinate Ascent with Adaptive Probabilities. ICML 2015: 674-683 - [c6]Zheng Qu, Peter Richtárik, Tong Zhang:
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling. NIPS 2015: 865-873 - [i11]Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq:
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. CoRR abs/1502.02268 (2015) - [i10]Dominik Csiba, Zheng Qu, Peter Richtárik:
Stochastic Dual Coordinate Ascent with Adaptive Probabilities. CoRR abs/1502.08053 (2015) - 2014
- [j1]Zheng Qu:
Contraction of Riccati Flows Applied to the Convergence Analysis of a Max-Plus Curse-of-Dimensionality-Free Method. SIAM J. Control. Optim. 52(5): 2677-2706 (2014) - [c5]Zheng Qu:
A max-plus based randomized algorithm for solving a class of HJB PDEs. CDC 2014: 1575-1580 - [c4]Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác:
Fast distributed coordinate descent for non-strongly convex losses. MLSP 2014: 1-6 - [i9]Stephane Gaubert, Zheng Qu:
Checking the strict positivity of Kraus maps is NP-hard. CoRR abs/1402.1429 (2014) - [i8]Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác:
Fast Distributed Coordinate Descent for Non-Strongly Convex Losses. CoRR abs/1405.5300 (2014) - [i7]Zheng Qu, Peter Richtárik, Tong Zhang:
Randomized Dual Coordinate Ascent with Arbitrary Sampling. CoRR abs/1411.5873 (2014) - [i6]Jakub Konecný, Zheng Qu, Peter Richtárik:
Semi-Stochastic Coordinate Descent. CoRR abs/1412.6293 (2014) - [i5]Zheng Qu, Peter Richtárik:
Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity. CoRR abs/1412.8060 (2014) - [i4]Zheng Qu, Peter Richtárik:
Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation. CoRR abs/1412.8063 (2014) - 2013
- [c3]Zheng Qu:
Contraction of Riccati flows applied to the convergence analysis of the max-plus curse of dimensionality free method. ECC 2013: 2226-2231 - [c2]Stephane Gaubert, Zheng Qu:
Markov operators on cones and non-commutative consensus. ECC 2013: 2693-2700 - [i3]Stéphane Gaubert, Zheng Qu:
Dobrushin ergodicity coefficient for Markov operators on cones, and beyond. CoRR abs/1302.5226 (2013) - 2012
- [i2]Stéphane Gaubert, Zheng Qu:
The contraction rate in Thompson metric of order-preserving flows on a cone - application to generalized Riccati equations. CoRR abs/1206.0448 (2012) - 2011
- [c1]Stephane Gaubert, William M. McEneaney, Zheng Qu:
Curse of dimensionality reduction in max-plus based approximation methods: Theoretical estimates and improved pruning algorithms. CDC/ECC 2011: 1054-1061 - [i1]Stephane Gaubert, William M. McEneaney, Zheng Qu:
Curse of dimensionality reduction. CoRR abs/1109.5241 (2011)
Coauthor Index
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