Yi Zhou
Cited by
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Reshaped Wirtinger Flow and Incremental Algorithms for Solving Quadratic Systems of Equations
H Zhang, Y Zhou, Y Liang, Y Chi
arXiv preprint, 0
Spiderboost and momentum: Faster variance reduction algorithms
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
Advances in Neural Information Processing Systems 32, 2019
A nonconvex approach for phase retrieval: Reshaped wirtinger flow and incremental algorithms
H Zhang, Y Zhou, Y Liang, Y Chi
Journal of Machine Learning Research 18, 2017
Normalization techniques in training dnns: Methodology, analysis and application
L Huang, J Qin, Y Zhou, F Zhu, L Liu, L Shao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Convergence analysis of proximal gradient with momentum for nonconvex optimization
Q Li, Y Zhou, Y Liang, PK Varshney
International Conference on Machine Learning, 2111-2119, 2017
Spiderboost: A class of faster variance-reduced algorithms for nonconvex optimization
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
arXiv 2018, 2018
Toward understanding the impact of staleness in distributed machine learning
W Dai, Y Zhou, N Dong, H Zhang, EP Xing
arXiv preprint arXiv:1810.03264, 2018
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Y Zhou, J Yang, H Zhang, Y Liang, V Tarokh
ICLR2019, 2018
Critical points of linear neural networks: Analytical forms and landscape properties
Y Zhou, Y Liang
ICLR2018, 2018
Improved zeroth-order variance reduced algorithms and analysis for nonconvex optimization
K Ji, Z Wang, Y Zhou, Y Liang
International conference on machine learning, 3100-3109, 2019
Stochastic variance-reduced cubic regularization for nonconvex optimization
Z Wang, Y Zhou, Y Liang, G Lan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Reanalysis of variance reduced temporal difference learning
T Xu, Z Wang, Y Zhou, Y Liang
arXiv preprint arXiv:2001.01898, 2020
Fedcluster: Boosting the convergence of federated learning via cluster-cycling
C Chen, Z Chen, Y Zhou, B Kailkhura
2020 IEEE International Conference on Big Data (Big Data), 5017-5026, 2020
On convergence of model parallel proximal gradient algorithm for stale synchronous parallel system
Y Zhou, Y Yu, W Dai, Y Liang, E Xing
Artificial Intelligence and Statistics, 713-722, 2016
Characterization of gradient dominance and regularity conditions for neural networks
Y Zhou, Y Liang
arXiv preprint arXiv:1710.06910, 2017
Distributed machine learning via sufficient factor broadcasting
P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, E Xing
arXiv preprint arXiv:1511.08486, 2015
Cubic regularization with momentum for nonconvex optimization
Z Wang, Y Zhou, Y Liang, G Lan
Uncertainty in Artificial Intelligence, 313-322, 2020
Geometrical properties and accelerated gradient solvers of non-convex phase retrieval
Y Zhou, H Zhang, Y Liang
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
Proximal gradient descent-ascent: Variable convergence under k {\L} geometry
Z Chen, Y Zhou, T Xu, Y Liang
arXiv preprint arXiv:2102.04653, 2021
Feature aggregation and propagation network for camouflaged object detection
T Zhou, Y Zhou, C Gong, J Yang, Y Zhang
IEEE Transactions on Image Processing 31, 7036-7047, 2022
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