Zheng Qu - RankMe

38 papers A* 4Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A characterization for tightness of the sparse Moment-SOS hierarchy. Math. Program. Jiawang Nie, Zheng Qu, Xindong Tang, Linghao Zhang
2025	J	`jnl`	Drop-Muon: Update Less, Converge Faster. CoRR Kaja Gruntkowska, Yassine Maziane, Zheng Qu, Peter Richtárik
2025	J	`jnl`	Progressive Bound Strengthening via Doubly Nonnegative Cutting Planes for Nonconvex Quadratic Programs. CoRR Zheng Qu, Defeng Sun, Jintao Xu
2024	J	`jnl`	A Correlatively Sparse Lagrange Multiplier Expression Relaxation for Polynomial Optimization. SIAM J. Optim. Zheng Qu, Xindong Tang
2022	J	`jnl`	Multiply Accelerated Value Iteration for NonSymmetric Affine Fixed Point Problems and Application to Markov Decision Processes. SIAM J. Matrix Anal. Appl. Marianne Akian, Stéphane Gaubert, Zheng Qu, Omar Saadi
2021	J	`jnl`	An inexact proximal augmented Lagrangian framework with arbitrary linearly convergent inner solver for composite convex optimization. Math. Program. Comput. Fei Li, Zheng Qu
2021	J	`jnl`	L-SVRG and L-Katyusha with Arbitrary Sampling. J. Mach. Learn. Res. Xun Qian, Zheng Qu, Peter Richtárik
2020	J	`jnl`	Restarting the accelerated coordinate descent method with a rough strong convexity estimate. Comput. Optim. Appl. Olivier Fercoq, Zheng Qu
2019	A*	`conf`	SAGA with Arbitrary Sampling. ICML Xun Qian, Zheng Qu, Peter Richtárik
2019	J	`jnl`	SAGA with Arbitrary Sampling. CoRR Xun Qian, Zheng Qu, Peter Richtárik
2019	—	`conf`	Solving Ergodic Markov Decision Processes and Perfect Information Zero-sum Stochastic Games by Variance Reduced Deflated Value Iteration. CDC Marianne Akian, Stéphane Gaubert, Zheng Qu, Omar Saadi
2018	J	`jnl`	Polyhedron over-approximation for complexity reduction in static analysis. Int. J. Comput. Math. Comput. Syst. Theory Yassamine Seladji, Zheng Qu
2017	J	`jnl`	Checking strict positivity of Kraus maps is NP-hard. Inf. Process. Lett. Stéphane Gaubert, Zheng Qu
2017	J	`jnl`	Semi-stochastic coordinate descent. Optim. Methods Softw. Jakub Konecný, Zheng Qu, Peter Richtárik
2016	J	`jnl`	Coordinate descent with arbitrary sampling I: algorithms and complexity. Optim. Methods Softw. Zheng Qu, Peter Richtárik
2016	J	`jnl`	Coordinate descent with arbitrary sampling II: expected separable overapproximation. Optim. Methods Softw. Zheng Qu, Peter Richtárik
2016	A*	`conf`	Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling. ICML Zeyuan Allen Zhu, Zheng Qu, Peter Richtárik, Yang Yuan
2016	J	`jnl`	Maximizing concave piecewise affine functions on the unitary group. Optim. Lett. Stéphane Gaubert, Zheng Qu, Srinivas Sridharan
2016	A*	`conf`	SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. ICML Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq
2015	—	`conf`	Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling. NIPS Zheng Qu, Peter Richtárik, Tong Zhang
2015	J	`jnl`	SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. CoRR Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq
2015	A*	`conf`	Stochastic Dual Coordinate Ascent with Adaptive Probabilities. ICML Dominik Csiba, Zheng Qu, Peter Richtárik
2015	J	`jnl`	Stochastic Dual Coordinate Ascent with Adaptive Probabilities. CoRR Dominik Csiba, Zheng Qu, Peter Richtárik
2014	—	`conf`	A max-plus based randomized algorithm for solving a class of HJB PDEs. CDC Zheng Qu
2014	J	`jnl`	Checking the strict positivity of Kraus maps is NP-hard. CoRR Stephane Gaubert, Zheng Qu
2014	J	`jnl`	Contraction of Riccati Flows Applied to the Convergence Analysis of a Max-Plus Curse-of-Dimensionality-Free Method. SIAM J. Control. Optim. Zheng Qu
2014	J	`jnl`	Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity. CoRR Zheng Qu, Peter Richtárik
2014	J	`jnl`	Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation. CoRR Zheng Qu, Peter Richtárik
2014	J	`jnl`	Fast Distributed Coordinate Descent for Non-Strongly Convex Losses. CoRR Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác
2014	—	`conf`	Fast distributed coordinate descent for non-strongly convex losses. MLSP Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác
2014	J	`jnl`	Randomized Dual Coordinate Ascent with Arbitrary Sampling. CoRR Zheng Qu, Peter Richtárik, Tong Zhang
2014	J	`jnl`	Semi-Stochastic Coordinate Descent. CoRR Jakub Konecný, Zheng Qu, Peter Richtárik
2013	—	`conf`	Contraction of Riccati flows applied to the convergence analysis of the max-plus curse of dimensionality free method. ECC Zheng Qu
2013	J	`jnl`	Dobrushin ergodicity coefficient for Markov operators on cones, and beyond CoRR Stéphane Gaubert, Zheng Qu
2013	—	`conf`	Markov operators on cones and non-commutative consensus. ECC Stephane Gaubert, Zheng Qu
2012	J	`jnl`	The contraction rate in Thompson metric of order-preserving flows on a cone - application to generalized Riccati equations CoRR Stéphane Gaubert, Zheng Qu
2011	J	`jnl`	Curse of dimensionality reduction CoRR Stephane Gaubert, William M. McEneaney, Zheng Qu
2011	—	`conf`	Curse of dimensionality reduction in max-plus based approximation methods: Theoretical estimates and improved pruning algorithms. CDC/ECC Stephane Gaubert, William M. McEneaney, Zheng Qu