Works matching AU Shiqian Ma
Results: 38
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization.
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- Mathematics of Operations Research, 2020, v. 45, n. 3, p. 833, doi. 10.1287/moor.2019.1010
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On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming.
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- Mathematics of Operations Research, 2019, v. 44, n. 2, p. 632, doi. 10.1287/moor.2018.0939
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Alternating direction method of multipliers for real and complex polynomial optimization models.
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- Optimization, 2014, v. 63, n. 6, p. 883, doi. 10.1080/02331934.2014.895901
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Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis.
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- Computational Optimization & Applications, 2019, v. 72, n. 1, p. 115, doi. 10.1007/s10589-018-0034-y
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Efficient algorithms for robust and stable principal component pursuit problems.
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- Computational Optimization & Applications, 2014, v. 58, n. 1, p. 1, doi. 10.1007/s10589-013-9613-0
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A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn.
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- Mathematics of Operations Research, 2024, v. 49, n. 3, p. 1710, doi. 10.1287/moor.2022.0286
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Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization.
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- Mathematics of Operations Research, 2023, v. 48, n. 2, p. 1183, doi. 10.1287/moor.2022.1302
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Adaptive composite frequency control of power systems using reinforcement learning.
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- CAAI Transactions on Intelligence Technology, 2022, v. 7, n. 4, p. 671, doi. 10.1049/cit2.12103
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Blockchain-Based Reputation Sharing for High-Quality Participant Selection of MCS.
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- Security & Communication Networks, 2023, p. 1, doi. 10.1155/2023/6120860
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MLfus: A real‐time forecasting architecture for low communication costs in electricity IoT based on ensemble learning.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 145, doi. 10.1049/cmu2.12519
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Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation.
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- Energies (19961073), 2023, v. 16, n. 16, p. 6062, doi. 10.3390/en16166062
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A Multi-Agent Reinforcement Learning Method for Cooperative Secondary Voltage Control of Microgrids.
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- Energies (19961073), 2023, v. 16, n. 15, p. 5653, doi. 10.3390/en16155653
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Secondary Voltage Collaborative Control of Distributed Energy System via Multi-Agent Reinforcement Learning.
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- Energies (19961073), 2022, v. 15, n. 19, p. 7047, doi. 10.3390/en15197047
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An Active Distribution Grid Exceedance Testing and Risk-Planning Simulation Based on Carbon Capture and Multisource Data from the Power Internet of Things.
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- Electronics (2079-9292), 2024, v. 13, n. 8, p. 1413, doi. 10.3390/electronics13081413
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Positive-Definite ℓ 1 -Penalized Estimation of Large Covariance Matrices.
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- Journal of the American Statistical Association, 2012, v. 107, n. 500, p. 1480, doi. 10.1080/01621459.2012.725386
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Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis.
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- Mathematical Programming, 2020, v. 184, n. 1/2, p. 445, doi. 10.1007/s10107-019-01418-8
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A smoothing SQP framework for a class of composite $$L_q$$ minimization over polyhedron.
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- Mathematical Programming, 2016, v. 158, n. 1/2, p. 467, doi. 10.1007/s10107-015-0939-5
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Tensor principal component analysis via convex optimization.
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- Mathematical Programming, 2015, v. 150, n. 2, p. 423, doi. 10.1007/s10107-014-0774-0
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Fast alternating linearization methods for minimizing the sum of two convex functions.
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- Mathematical Programming, 2013, v. 141, n. 1/2, p. 349, doi. 10.1007/s10107-012-0530-2
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Fixed point and Bregman iterative methods for matrix rank minimization.
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- Mathematical Programming, 2011, v. 128, n. 1/2, p. 321, doi. 10.1007/s10107-009-0306-5
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An Extragradient-Based Alternating Direction Method for Convex Minimization.
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- Foundations of Computational Mathematics, 2017, v. 17, n. 1, p. 35, doi. 10.1007/s10208-015-9282-8
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Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization.
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- Foundations of Computational Mathematics, 2011, v. 11, n. 2, p. 183, doi. 10.1007/s10208-011-9084-6
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A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis.
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- INFORMS Journal on Optimization, 2022, v. 4, n. 2, p. 200, doi. 10.1287/ijoo.2021.0064
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An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis.
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- INFORMS Journal on Optimization, 2020, v. 2, n. 3, p. 192, doi. 10.1287/ijoo.2019.0032
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FEDERATED LEARNING ON RIEMANNIAN MANIFOLDS.
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- Applied Set-Valued Analysis & Optimization, 2023, v. 5, n. 2, p. 213, doi. 10.23952/asvao.5.2023.2.07
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On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold.
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- Journal of Machine Learning Research, 2022, v. 23, p. 1
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SPARCoC: A New Framework for Molecular Pattern Discovery and Cancer Gene Identification.
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- PLoS ONE, 2015, v. 10, n. 3, p. 1, doi. 10.1371/journal.pone.0117135
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ADMM for High-Dimensional Sparse Penalized Quantile Regression.
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- Technometrics, 2018, v. 60, n. 3, p. 319, doi. 10.1080/00401706.2017.1345703
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A simplified control parameter optimisation method of the hybrid modular multilevel converter in the medium‐voltage DC distribution network for improved stability under a weak AC system.
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- IET Energy Systems Integration, 2024, v. 6, n. 4, p. 512, doi. 10.1049/esi2.12147
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Day‐ahead optimal dispatching of hybrid power system based on deep reinforcement learning.
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- Cognitive Computation & Systems, 2022, v. 4, n. 4, p. 351, doi. 10.1049/ccs2.12068
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REDUCED-RANK MODELING FOR HIGH-DIMENSIONAL MODEL-BASED CLUSTERING.
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- Journal of Computational Mathematics, 2018, v. 36, n. 3, p. 426, doi. 10.4208/jcm.1708-m2016-0830
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An ADMM-based interior-point method for large-scale linear programming.
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- Optimization Methods & Software, 2021, v. 36, n. 2/3, p. 389, doi. 10.1080/10556788.2020.1821200
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Accelerated dual-averaging primal–dual method for composite convex minimization.
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- Optimization Methods & Software, 2020, v. 35, n. 4, p. 741, doi. 10.1080/10556788.2020.1713779
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An alternating direction method for total variation denoising.
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- Optimization Methods & Software, 2015, v. 30, n. 3, p. 594, doi. 10.1080/10556788.2014.955100
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Zeroth-order algorithms for nonconvex–strongly-concave minimax problems with improved complexities.
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- Journal of Global Optimization, 2023, v. 87, n. 2-4, p. 709, doi. 10.1007/s10898-022-01160-0
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Corrigendum: SparRec: An effective matrix completion framework of missing data imputation for GWAS.
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- Scientific Reports, 2016, p. 37365, doi. 10.1038/srep37365
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SparRec: An effective matrix completion framework of missing data imputation for GWAS.
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- Scientific Reports, 2016, p. 35534, doi. 10.1038/srep35534
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