Yi Zhou
Title
Cited by
Cited by
Year
Communication-efficient algorithms for decentralized and stochastic optimization
G Lan, S Lee, Y Zhou
Mathematical Programming 180 (1), 237-284, 2020
1402020
Reshaped Wirtinger Flow and Incremental Algorithms for Solving Quadratic Systems of Equations
H Zhang, Y Zhou, Y Liang, Y Chi
arXiv preprint, 0
103*
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
602018
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
582017
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
462017
SpiderBoost and momentum: Faster stochastic variance reduction algorithms
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
arXiv preprint arXiv:1810.10690, 2018
292018
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
252019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Y Zhou, J Yang, H Zhang, Y Liang, V Tarokh
ICLR2019, 2018
252018
Critical points of linear neural networks: Analytical forms and landscape properties
Y Zhou, Y Liang
ICLR2018, 2018
252018
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
252016
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
242019
Characterization of gradient dominance and regularity conditions for neural networks
Y Zhou, Y Liang
arXiv preprint arXiv:1710.06910, 2017
222017
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
212016
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
212015
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
172019
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
162017
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
162016
Reanalysis of variance reduced temporal difference learning
T Xu, Z Wang, Y Zhou, Y Liang
arXiv preprint arXiv:2001.01898, 2020
152020
Analysis of Robust PCA via Local Incoherence.
H Zhang, Y Zhou, Y Liang
NIPS, 1819-1827, 2015
132015
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
112018
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