Learning diverse and discriminative representations via the principle of maximal coding rate reduction Y Yu, KHR Chan, C You, C Song, Y Ma
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
164 2020 Optimistic dual extrapolation for coherent non-monotone variational inequalities C Song, Z Zhou, Y Zhou, Y Jiang, Y Ma
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
54 2020 Improved analysis for subspace pursuit algorithm in terms of restricted isometry constant CB Song, ST Xia, XJ Liu
IEEE Signal Processing Letters 21 (11), 1365-1369, 2014
40 2014 Sparse Signal Recovery by Minimization Under Restricted Isometry Property CB Song, ST Xia
IEEE Signal Processing Letters 21 (9), 1154-1158, 2014
30 2014 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization C Song, Y Jiang, Y Ma
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
27 2020 Pmpa: A patch-based multiscale products algorithm for image denoising T Dai, CB Song, JP Zhang, ST Xia
2015 IEEE International Conference on Image Processing (ICIP), 4406-4410, 2015
21 2015 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums C Song, SJ Wright, J Diakonikolas
International Conference on Machine Learning (ICML), 2021 (Long Presentation), 2021
18 2021 Accelerated stochastic greedy coordinate descent by soft thresholding projection onto simplex C Song, S Cui, Y Jiang, ST Xia
Advances in Neural Information Processing Systems, 2017 (Spotlight), 2017
14 2017 Unified Acceleration of High-Order Algorithms under H\"{o} lder Continuity and Uniform Convexity C Song, Y Jiang, Y Ma
SIAM Journal on Optimization 31 (3), 1797-1826, 2021
12 2021 Unified acceleration of high-order algorithms under general Hölder continuity C Song, Y Jiang, Y Ma
SIAM Journal on Optimization 31 (3), 1797-1826, 2021
11 2021 Towards unified acceleration of high-order algorithms under Hölder continuity and uniform convexity C Song, Y Ma
arXiv preprint arXiv:1906.00582, 2019
10 2019 Cyclic block coordinate descent with variance reduction for composite nonconvex optimization X Cai, C Song, S Wright, J Diakonikolas
International Conference on Machine Learning, 3469-3494, 2023
9 2023 Coordinate linear variance reduction for generalized linear programming C Song, CY Lin, S Wright, J Diakonikolas
Advances in Neural Information Processing Systems 35, 22049-22063, 2022
9 2022 Improving decision trees by tsallis entropy information metric method Y Wang, C Song, ST Xia
2016 International Joint Conference on Neural Networks (IJCNN), 4729-4734, 2016
9 2016 A stochastic halpern iteration with variance reduction for stochastic monotone inclusion problems X Cai, C Song, C Guzmán, J Diakonikolas
arXiv preprint arXiv:2203.09436, 2022
8 2022 Unifying decision trees split criteria using tsallis entropy Y Wang, C Song, ST Xia
arXiv preprint arXiv:1511.08136, 2015
7 2015 Inexact proximal cubic regularized Newton methods for convex optimization C Song, J Liu, Y Jiang
arXiv preprint arXiv:1902.02388, 2019
6 2019 Fully implicit online learning C Song, J Liu, H Liu, Y Jiang, T Zhang
arXiv preprint arXiv:1809.09350, 2018
6 2018 A fast scale-invariant algorithm for non-negative least squares with non-negative data J Diakonikolas, C Li, S Padmanabhan, C Song
Advances in Neural Information Processing Systems 35, 6264-6277, 2022
5 2022 Stochastic halpern iteration with variance reduction for stochastic monotone inclusions X Cai, C Song, C Guzmán, J Diakonikolas
Advances in Neural Information Processing Systems 35, 24766-24779, 2022
4 2022