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Yi Zhou
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Year
Reshaped Wirtinger Flow and Incremental Algorithms for Solving Quadratic Systems of Equations
H Zhang, Y Zhou, Y Liang, Y Chi
arXiv preprint, 0
150*
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
982017
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
942019
Spiderboost: A class of faster variance-reduced algorithms for nonconvex optimization
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
arXiv 2018, 2018
742018
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
672017
Critical points of linear neural networks: Analytical forms and landscape properties
Y Zhou, Y Liang
ICLR2018, 2018
462018
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
442018
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Y Zhou, J Yang, H Zhang, Y Liang, V Tarokh
ICLR2019, 2018
432018
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
422019
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
382019
Reanalysis of variance reduced temporal difference learning
T Xu, Z Wang, Y Zhou, Y Liang
arXiv preprint arXiv:2001.01898, 2020
302020
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
302016
Characterization of gradient dominance and regularity conditions for neural networks
Y Zhou, Y Liang
arXiv preprint arXiv:1710.06910, 2017
262017
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
232017
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
232015
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
212016
Cubic regularization with momentum for nonconvex optimization
Z Wang, Y Zhou, Y Liang, G Lan
Uncertainty in Artificial Intelligence, 313-322, 2020
202020
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, EP Xing
UAI, 2016
182016
Generalization error bounds with probabilistic guarantee for SGD in nonconvex optimization
Y Zhou, Y Liang, H Zhang
arXiv preprint arXiv:1802.06903, 2018
172018
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
162020
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