An inexact accelerated stochastic ADMM for separable convex optimization von Bai, Jianchao, Hager, William W., Zhang, Hongchao

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A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities von Chang, Xiaokai, Bai, Jianchao

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DC algorithm for estimation of sparse Gaussian graphical models von Shiratori, Tomokaze, Takano, Yuichi

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BS-CP: Efficient streaming Bayesian tensor decomposition method via assumed density filtering von Liu, Jiaqi, Wu, Qiwu, Jiang, Lingzhi, Zhan, Renjun, Zhao, Xiaochuan, Wu, Husheng, Tan, Weicong

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New roles of Lagrange multiplier method in generalizability theory: Inference of estimating the optimal sample size for teaching ability evaluation of college teachers von Li, Guangming

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Spectral-like conjugate gradient methods with sufficient descent property for vector optimization von Yahaya, Jamilu, Kumam, Poom, Salisu, Sani, Sitthithakerngkiet, Kanokwan

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Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter von Chang, Xiaokai, Bai, Jianchao, Song, Dunjiang, Liu, Sanyang

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A Family of Multi-Parameterized Proximal Point Algorithms von Bai, Jianchao, Guo, Ke, Chang, Xiaokai

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Joint design of mismatched filter and unimodular transmit waveform von Wang, Tao, Chen, Zihao, Cheng, Zhiwei, Deng, Xiaobo, Liang, Junli, Bai, Jianchao

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A NEW MODEL FOR SPARSE AND LOW-RANK MATRIX DECOMPOSITION von Zisheng Liu, Jicheng Li, Guo Li, Jianchao Bai, Xuenian Liu

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A New Insight on Augmented Lagrangian Method with Applications in Machine Learning von Bai, Jianchao, Jia, Linyuan, Peng, Zheng

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An inexact ADMM for separable nonconvex and nonsmooth optimization von Bai, Jianchao, Zhang, Miao, Zhang, Hongchao

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An accelerated stochastic ADMM for nonconvex and nonsmooth finite-sum optimization von Zeng, Yuxuan, Wang, Zhiguo, Bai, Jianchao, Shen, Xiaojing

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Reweighted Alternating Direction Method of Multipliers for DNN weight pruning von Yuan, Ming, Du, Lin, Jiang, Feng, Bai, Jianchao, Chen, Guanrong

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An inexact ADMM with proximal-indefinite term and larger stepsize von Ma, Yuxue, Bai, Jianchao, Sun, Hao

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A systematic DNN weight pruning framework based on symmetric accelerated stochastic ADMM von Yuan, Ming, Bai, Jianchao, Jiang, Feng, Du, Lin

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Generalized symmetric ADMM for separable convex optimization von Bai, Jianchao, Li, Jicheng, Xu, Fengmin, Zhang, Hongchao

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A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix von Zhang, Xuewei, Cheng, Kexin, Duan, Xue-Feng, Bai, Jianchao

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A parameterized proximal point algorithm for separable convex optimization von Bai, Jianchao, Zhang, Hongchao, Li, Jicheng

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Preconditioned ADMM for a Class of Bilinear Programming Problems von Liang, Xiaobo, Bai, Jianchao

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