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
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
Spiderboost: A class of faster variance-reduced algorithms for nonconvex optimization
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
arXiv preprint arXiv:1810.10690 2 (3), 4, 2018
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 and momentum: Faster variance reduction algorithms
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
Advances in Neural Information Processing Systems 32, 2406-2416, 2019
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
Critical points of linear neural networks: Analytical forms and landscape properties
Y Zhou, Y Liang
ICLR2018, 2018
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
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Y Zhou, J Yang, H Zhang, Y Liang, V Tarokh
ICLR2019, 2018
Reshaped Wirtinger flow and incremental algorithm for solving quadratic system of equations
H Zhang, Y Zhou, Y Liang, Y Chi
arXiv preprint arXiv:1605.07719, 2016
Characterization of gradient dominance and regularity conditions for neural networks
Y Zhou, Y Liang
arXiv preprint arXiv:1710.06910, 2017
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
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
Reanalysis of variance reduced temporal difference learning
T Xu, Z Wang, Y Zhou, Y Liang
arXiv preprint arXiv:2001.01898, 2020
Towards taming the resource and data heterogeneity in federated learning
Z Chai, H Fayyaz, Z Fayyaz, A Anwar, Y Zhou, N Baracaldo, H Ludwig, ...
2019 {USENIX} Conference on Operational Machine Learning (OpML 19), 19-21, 2019
Learning latent space models with angular constraints
P Xie, Y Deng, Y Zhou, A Kumar, Y Yu, J Zou, EP Xing
International Conference on Machine Learning, 3799-3810, 2017
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
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
Divide and conquer: Efficient density-based tracking of 3D sensors in Manhattan worlds
Y Zhou, L Kneip, C Rodriguez, H Li
Asian Conference on Computer Vision, 3-19, 2016
Anti-oxidative feedback and biomarkers in the intertidal seagrass Zostera japonica induced by exposure to copper, lead and cadmium
H Lin, T Sun, Y Zhou, X Zhang
Marine pollution bulletin 109 (1), 325-333, 2016
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