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Tao Sun
Tao Sun
National University of Defense Technology
Bestätigte E-Mail-Adresse bei math.ucla.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
LAG: Lazily aggregated gradient for communication-efficient distributed learning
T Chen, GB Giannakis, T Sun, W Yin
Advances in Neural Information Processing Systems 31, 2018
3122018
Decentralized federated averaging
T Sun, D Li, B Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4289-4301, 2022
1232022
On markov chain gradient descent
T Sun, Y Sun, W Yin
Advances in Neural Information Processing Systems 31, 2018
942018
NTIRE 2022 challenge on perceptual image quality assessment
J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
902022
Asynchronous Coordinate Descent under More Realistic Assumptions
T Sun, R Hannah, W Yin
Advances in Neural Information Processing Systems 30, 6182-6190, 2017
822017
Non-ergodic convergence analysis of heavy-ball algorithms
T Sun, P Yin, D Li, C Huang, L Guan, H Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5033-5040, 2019
472019
Scheduled restart momentum for accelerated stochastic gradient descent
B Wang, T Nguyen, T Sun, AL Bertozzi, RG Baraniuk, SJ Osher
SIAM Journal on Imaging Sciences 15 (2), 738-761, 2022
412022
Iteratively linearized reweighted alternating direction method of multipliers for a class of nonconvex problems
T Sun, H Jiang, L Cheng, W Zhu
IEEE Transactions on Signal Processing 66 (20), 5380-5391, 2018
322018
Adaptive temporal difference learning with linear function approximation
T Sun, H Shen, T Chen, D Li
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
272021
Alternating direction method of multipliers with difference of convex functions
T Sun, P Yin, L Cheng, H Jiang
Advances in Computational Mathematics 44, 723-744, 2018
272018
Convergence of proximal iteratively reweighted nuclear norm algorithm for image processing
T Sun, H Jiang, L Cheng
IEEE Transactions on Image Processing 26 (12), 5632-5644, 2017
272017
Stability and Generalization of the Decentralized Stochastic Gradient Descent
T Sun, D Li, B Wang
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No …, 2021
252021
Global convergence of proximal iteratively reweighted algorithm
T Sun, H Jiang, L Cheng
Journal of Global Optimization, 1-12, 2017
212017
Heavy-ball Algorithms Always Escape Saddle Points
T Sun, D Li, Z Quan, H Jiang, S Li, Y Dou
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
202019
Hpdl: Towards a general framework for high-performance distributed deep learning
D Li, Z Lai, K Ge, Y Zhang, Z Zhang, T Sun, Q Wang, H Wang
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
172019
An efficient ADMM-based algorithm to nonconvex penalized support vector machines
L Guan, L Qiao, D Li, T Sun, K Ge, X Lu
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1209-1216, 2018
172018
General proximal incremental aggregated gradient algorithms: Better and novel results under general scheme
T Sun, Y Sun, D Li, Q Liao
Advances in Neural Information Processing Systems 32, 2019
152019
Inertial nonconvex alternating minimizations for the image deblurring
T Sun, R Barrio, M Rodríguez, H Jiang
IEEE Transactions on Image Processing, 2019
152019
On the Decentralized Stochastic Gradient Descent with Markov Chain Sampling
T Sun, D Li, B Wang
IEEE Transactions on Signal Processing, 2023
14*2023
Gradient Descent Learning with Floats
T Sun, K Tang, D Li
IEEE Transactions on Cybernetics, 2020
142020
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