Gen Li
Gen Li
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα
Παρατίθεται από
Παρατίθεται από
Phase transitions of spectral initialization for high-dimensional non-convex estimation
YM Lu, G Li
Information and Inference: A Journal of the IMA 9 (3), 507-541, 2020
Nonconvex low-rank symmetric tensor completion from noisy data
C Cai, G Li, HV Poor, Y Chen
arXiv preprint arXiv:1911.04436, 2019
Active orthogonal matching pursuit for sparse subspace clustering
Y Chen, G Li, Y Gu
IEEE Signal Processing Letters 25 (2), 164-168, 2017
Restricted isometry property of gaussian random projection for finite set of subspaces
G Li, Y Gu
IEEE Transactions on Signal Processing 66 (7), 1705-1720, 2017
Phase retrieval using iterative projections: Dynamics in the large systems limit
G Li, Y Gu, YM Lu
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
Breaking the sample size barrier in model-based reinforcement learning with a generative model
G Li, Y Wei, Y Chi, Y Gu, Y Chen
Advances in Neural Information Processing Systems 33, 2020
Subspace estimation from unbalanced and incomplete data matrices: ℓ2,∞ statistical guarantees
C Cai, G Li, Y Chi, HV Poor, Y Chen
The Annals of Statistics 49 (2), 944-967, 2021
Sample complexity of asynchronous Q-learning: Sharper analysis and variance reduction
G Li, Y Wei, Y Chi, Y Gu, Y Chen
arXiv preprint arXiv:2006.03041, 2020
A general framework for understanding compressed subspace clustering algorithms
L Meng, G Li, J Yan, Y Gu
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1504-1519, 2018
Rigorous restricted isometry property of low-dimensional subspaces
G Li, Q Liu, Y Gu
Applied and Computational Harmonic Analysis 49 (2), 608-635, 2020
Distance-preserving property of random projection for subspaces
G Li, Y Gu
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
An RIP-based performance guarantee of covariance-assisted matching pursuit
J Wang, G Li, L Rencker, W Wang, Y Gu
IEEE Signal Processing Letters 25 (6), 828-832, 2018
Subspace principal angle preserving property of gaussian random projection
Y Jiao, X Shen, G Li, Y Gu
2018 IEEE Data Science Workshop (DSW), 115-119, 2018
Principal angles preserving property of Gaussian random projection for subspaces
Y Jiao, G Li, Y Gu
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
Unraveling the veil of subspace rip through near-isometry on subspaces
X Xu, G Li, Y Gu
IEEE Transactions on Signal Processing 68, 3117-3131, 2020
Compressed subspace learning based on canonical angle preserving property
Y Jiao, G Li, Y Gu
arXiv preprint arXiv:1907.06166, 2019
Spectral initialization for nonconvex estimation: high-dimensional limit and phase transitions
YM Lu, G Li
2017 IEEE International Symposium on Information Theory (ISIT), 3015-3019, 2017
Approximation of Gram-Schmidt Orthogonalization by Data Matrix
G Li, Y Gu
arXiv preprint arXiv:1701.00711, 2016
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
G Li, Y Gu
arXiv preprint arXiv:1907.10906, 2019
Linear convergence of an iterative phase retrieval algorithm with data reuse
G Li, Y Jiao, Y Gu
arXiv preprint arXiv:1712.01712, 2017
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