| 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 | 163 | 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 |
Yi Ma (马毅)Professor of EECS, UC Berkeley; Director of IDS & Head of CS, University of Hong Kong在 eecs.berkeley.edu 的電子郵件地址已通過驗證
