Luo Luo

Most-cited papers

Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo, Haishan Ye, Zhichao Huang, Tong Zhang
2020Neural Information Processing Systems154 citations
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Support Matrix Machines
Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li
2015International Conference on Machine Learning105 citations
Semantic Scholar
Multi-consensus Decentralized Accelerated Gradient Descent
Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang
2020Journal of machine learning research73 citations
Semantic Scholar
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions
Shusen Wang, Luo Luo, Zhihua Zhang
2014Journal of machine learning research41 citations
Semantic Scholar
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Le-Yu Chen, Jing Xu, Luo Luo
2023International Conference on Machine Learning39 citations Open access
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Decentralized Accelerated Proximal Gradient Descent
Haishan Ye, Ziang Zhou, Luo Luo, Tong Zhang
2020Neural Information Processing Systems37 citations
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Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le-Yu Chen, Luo Luo
2022Journal of machine learning research30 citations Open access
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Accelerating Inexact HyperGradient Descent for Bilevel Optimization
Hai-Long Yang, Luo Luo, C. Li, Michael I. Jordan
2023arXiv.org26 citations Open access
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Approximate Newton Methods and Their Local Convergence
Haishan Ye, Luo Luo, Zhihua Zhang
2017International Conference on Machine Learning26 citations
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Robust Frequent Directions with Application in Online Learning
Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li +1 more
2017Journal of machine learning research26 citations
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Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Le-Yu Chen, Boyuan Yao, Luo Luo
2023Neural Information Processing Systems24 citations Open access
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Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo, Yujun Li, Cheng Chen
2021Neural Information Processing Systems24 citations Open access
Semantic Scholar
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
Guangzeng Xie, Luo Luo, Yi-Jiang Lian, Zhihua Zhang
2020International Conference on Machine Learning24 citations
Semantic Scholar
Efficient and Robust High-Dimensional Linear Contextual Bandits
Cheng Chen, Luo Luo, Wei-Nan Zhang, Yong Yu +1 more
2020International Joint Conference on Artificial Intelligence24 citations Open access
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Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization
Luo Luo, Guangzeng Xie, Tong Zhang, Zhihua Zhang
2021arXiv.org23 citations
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Quasi-Newton Methods for Saddle Point Problems and Beyond
Chengchang Liu, Luo Luo
2021Neural Information Processing Systems21 citations Open access
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Frequent Direction Algorithms for Approximate Matrix Multiplication with Applications in CCA
Qiaoming Ye, Luo Luo, Zhihua Zhang
2016International Joint Conference on Artificial Intelligence20 citations
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An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
Le-Yu Chen, Haishan Ye, Luo Luo
2022International Conference on Artificial Intelligence and Statistics17 citations
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Nesterov's Acceleration For Approximate Newton
Haishan Ye, Luo Luo, Zhihua Zhang
2017Journal of machine learning research17 citations
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Efficient Projection-Free Algorithms for Saddle Point Problems
Cheng Chen, Luo Luo, Wei-Nan Zhang, Yong Yu
2020Neural Information Processing Systems16 citations
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A Stochastic Proximal Point Algorithm for Saddle-Point Problems
Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie +1 more
2019arXiv.org16 citations
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Approximate Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
2017Journal of machine learning research16 citations
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Quasi-Newton Hamiltonian Monte Carlo
Tianfan Fu, Luo Luo, Zhihua Zhang
2016Conference on Uncertainty in Artificial Intelligence12 citations
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Communication Efficient Distributed Newton Method with Fast Convergence Rates
Chengchang Liu, Le-Yu Chen, Luo Luo, John C.S. Lui
2023Knowledge Discovery and Data Mining11 citations Open access
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Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality
Chengchang Liu, Shu-Xian Bi, Luo Luo, John C.S. Lui
2022Knowledge Discovery and Data Mining11 citations
Semantic Scholar
Finding Second-Order Stationary Point for Nonconvex-Strongly-Concave Minimax Problem
Luo Luo, Cheng Chen
2021arXiv.org10 citations
Semantic Scholar
The Modified Nystrom Method: Theories, Algorithms, and Extension
Shusen Wang, Luo Luo, Zhihua Zhang
2014arXiv.org9 citations
Semantic Scholar
On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization
Luo Luo, Yunyan Bai, Lesi Chen, Yuxing Liu +1 more
20227 citations
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Decentralized Stochastic Variance Reduced Extragradient Method
Luo Luo, Haishan Ye
2022arXiv.org7 citations
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Selective aerobic oxidation of benzylic amines to aryl nitriles catalyzed by CuBr2/N-methyl imidazole
Yi-Fan Shen, Yu Zhou, Li-Li Jiang, Guang-Ni Ding +3 more
2018Tetrahedron7 citations
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Symmetric Rank-$k$ Methods
Chengchang Liu, Cheng Chen, Luo Luo
20236 citations
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Accelerated Proximal Subsampled Newton Method
Haishan Ye, Luo Luo, Zhihua Zhang
2020IEEE Transactions on Neural Networks and Learning Systems6 citations
Semantic Scholar
Sketched Follow-The-Regularized-Leader for Online Factorization Machine
Luo Luo, Wen-Peng Zhang, Zhihua Zhang, Wen-Wu Zhu +2 more
2018Knowledge Discovery and Data Mining6 citations
Semantic Scholar
A Proximal Stochastic Quasi-Newton Algorithm
Luo Luo, Zihao Chen, Zhihua Zhang, Wu-Jun Li
20166 citations
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Robust crowdsourced learning
Zhiquan Liu, Luo Luo, Wu-Jun Li
2013BigData Congress [Services Society]6 citations
Semantic Scholar
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices
Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye
2020AAAI Conference on Artificial Intelligence4 citations Open access
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A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization
Guangzeng Xie, Luo Luo, Zhihua Zhang
2019arXiv.org4 citations
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Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features
Zihao Chen, Luo Luo, Zhihua Zhang
2016AAAI Conference on Artificial Intelligence4 citations Open access
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A Unifying Framework for Convergence Analysis of Approximate Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
2017arXiv.org3 citations
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Variance-Reduced Second-Order Methods
Luo Luo, Zihao Chen, Zhihua Zhang, Wu-Jun Li
2016arXiv.org3 citations
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Revisiting Sub-sampled Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
2016arXiv.org3 citations
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A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
Hongxu Chen, Ke Wei, Haishan Ye, Luo Luo
2025Neural Information Processing Systems2 citations
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Fast stochastic second-order method logarithmic in condition number
Haishan Ye, Guangzeng Xie, Luo Luo, Zhihua Zhang
2019Pattern Recognition1 citations
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N ov 2 01 6 A Proximal Stochastic Quasi-Newton Algorithm
Luo Luo, Zhihua Zhang
20180 citations
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Online Learning Via Regularized Frequent Directions
Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li
2017arXiv.org0 citations
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Emotion analyzing system and method
Wu-Jun Li, Luo Luo, M. Guo
20120 citations
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