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ORCIDChaobing Song
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2020 – today
- 2023
[j3]Chaobing Song
, Jelena Diakonikolas:
Cyclic Coordinate Dual Averaging with Extrapolation. SIAM J. Optim. 33(4): 2935-2961 (2023)- [c14]Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. ICML 2023: 3469-3494 - [c13]Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas:
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. ICML 2023: 21101-21126 - [i19]Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas:
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization. CoRR abs/2303.16279 (2023) - 2022
- [c12]Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas:
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions. NeurIPS 2022 - [c11]Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song:
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. NeurIPS 2022 - [c10]Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. NeurIPS 2022 - [i18]Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song:
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data. CoRR abs/2203.03808 (2022) - [i17]Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas:
A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems. CoRR abs/2203.09436 (2022) - [i16]Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. CoRR abs/2212.05088 (2022) - 2021
- [j2]Chaobing Song, Yong Jiang, Yi Ma:
Unified Acceleration of High-Order Algorithms under General Hölder Continuity. SIAM J. Optim. 31(3): 1797-1826 (2021) - [c9]Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. ICML 2021: 9824-9834 - [i15]Chaobing Song, Jelena Diakonikolas:
Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities. CoRR abs/2102.13244 (2021) - [i14]Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. CoRR abs/2102.13643 (2021) - [i13]Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma:
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. CoRR abs/2103.04410 (2021) - [i12]Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas:
Coordinate Linear Variance Reduction for Generalized Linear Programming. CoRR abs/2111.01842 (2021) - 2020
- [c8]Chaobing Song, Yong Jiang, Yi Ma:
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. NeurIPS 2020 - [c7]Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma:
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. NeurIPS 2020 - [c6]Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma:
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS 2020 - [i11]Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma:
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR abs/2006.08558 (2020) - [i10]Chaobing Song, Yong Jiang, Yi Ma:
Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. CoRR abs/2006.10281 (2020)
2010 – 2019
- 2019
- [i9]Chaobing Song, Yi Ma:
Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. CoRR abs/1906.00582 (2019) - 2018
- [i8]Chao-Bing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang:
Fully Implicit Online Learning. CoRR abs/1809.09350 (2018) - 2017
- [c5]Shaobo Cui, Chao-Bing Song, Yong Jiang:
Improved Optimization Methods for Regularized Optimal Transport. ICTAI 2017: 695-700 - [c4]Chao-Bing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia:
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex. NIPS 2017: 4838-4847 - 2016
- [c3]Yisen Wang, Chao-Bing Song, Shu-Tao Xia:
Improving decision trees by Tsallis Entropy Information Metric method. IJCNN 2016: 4729-4734 - [i7]Chao-Bing Song, Shu-Tao Xia:
Alternating direction algorithms for ℓ0 regularization in compressed sensing. CoRR abs/1604.04424 (2016) - [i6]Chao-Bing Song, Shu-Tao Xia:
Bayesian linear regression with Student-t assumptions. CoRR abs/1604.04434 (2016) - [i5]Chao-Bing Song, Shu-Tao Xia:
Nonextensive information theoretical machine. CoRR abs/1604.06153 (2016) - 2015
- [c2]Tao Dai, Chao-Bing Song, Jiping Zhang, Shu-Tao Xia:
PMPA: A patch-based multiscale products algorithm for image denoising. ICIP 2015: 4406-4410 - [c1]Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu:
Subspace thresholding pursuit: A reconstruction algorithm for compressed sensing. ISIT 2015: 536-540 - [i4]Yisen Wang, Chao-Bing Song, Shu-Tao Xia:
Improving Decision Trees Using Tsallis Entropy. CoRR abs/1511.08136 (2015) - 2014
- [j1]Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu:
Improved Analysis for Subspace Pursuit Algorithm in Terms of Restricted Isometry Constant. IEEE Signal Process. Lett. 21(11): 1365-1369 (2014) - 2013
- [i3]Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu:
Improved Analyses for SP and CoSaMP Algorithms in Terms of Restricted Isometry Constants. CoRR abs/1309.6073 (2013) - [i2]Chao-Bing Song, Shu-Tao Xia:
New bounds Under Restricted Isometry for the exact k-sparse recovery via ℓq minimization. CoRR abs/1310.2410 (2013) - [i1]Chao-Bing Song, Shu-Tao Xia:
Subspace Thresholding Pursuit: A Reconstruction Algorithm for Compressed Sensing. CoRR abs/1311.0121 (2013)
Coauthor Index
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