Zheng Qu

Orcid: 0000-0003-0883-2277

Affiliations:
  • University of Hong Kong, Department of Mathematics, Hong Kong
  • University of Edinburgh, UK (former)


According to our database1, Zheng Qu authored at least 25 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Multiply Accelerated Value Iteration for NonSymmetric Affine Fixed Point Problems and Application to Markov Decision Processes.
SIAM J. Matrix Anal. Appl., 2022

2021
An inexact proximal augmented Lagrangian framework with arbitrary linearly convergent inner solver for composite convex optimization.
Math. Program. Comput., 2021

L-SVRG and L-Katyusha with Arbitrary Sampling.
J. Mach. Learn. Res., 2021

2020
Restarting the accelerated coordinate descent method with a rough strong convexity estimate.
Comput. Optim. Appl., 2020

2019
SAGA with Arbitrary Sampling.
Proceedings of the 36th International Conference on Machine Learning, 2019

Solving Ergodic Markov Decision Processes and Perfect Information Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Polyhedron over-approximation for complexity reduction in static analysis.
Int. J. Comput. Math. Comput. Syst. Theory, 2018

2017
Semi-stochastic coordinate descent.
Optim. Methods Softw., 2017

Checking strict positivity of Kraus maps is NP-hard.
Inf. Process. Lett., 2017

2016
Coordinate descent with arbitrary sampling II: expected separable overapproximation.
Optim. Methods Softw., 2016

Coordinate descent with arbitrary sampling I: algorithms and complexity.
Optim. Methods Softw., 2016

Maximizing concave piecewise affine functions on the unitary group.
Optim. Lett., 2016

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling.
Proceedings of the 33nd International Conference on Machine Learning, 2016

SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Stochastic Dual Coordinate Ascent with Adaptive Probabilities.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Contraction of Riccati Flows Applied to the Convergence Analysis of a Max-Plus Curse-of-Dimensionality-Free Method.
SIAM J. Control. Optim., 2014

Randomized Dual Coordinate Ascent with Arbitrary Sampling.
CoRR, 2014

Fast distributed coordinate descent for non-strongly convex losses.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A max-plus based randomized algorithm for solving a class of HJB PDEs.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Dobrushin ergodicity coefficient for Markov operators on cones, and beyond
CoRR, 2013

Markov operators on cones and non-commutative consensus.
Proceedings of the 12th European Control Conference, 2013

2012
The contraction rate in Thompson metric of order-preserving flows on a cone - application to generalized Riccati equations
CoRR, 2012

2011
Curse of dimensionality reduction
CoRR, 2011

Curse of dimensionality reduction in max-plus based approximation methods: Theoretical estimates and improved pruning algorithms.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011


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