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PENG WANG
PENG WANG
Postdoc Fellow, Department of Electrical Engineering and Computer Science, University of Michigan
在 umich.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Optimal non-convex exact recovery in stochastic block model via projected power method
P Wang, H Liu, Z Zhou, AMC So
International Conference on Machine Learning, 10828-10838, 2021
142021
Neural collapse with normalized features: A geometric analysis over the riemannian manifold
C Yaras, P Wang, Z Zhu, L Balzano, Q Qu
Advances in neural information processing systems 35, 11547-11560, 2022
122022
Globally convergent accelerated proximal alternating maximization method for l1-principal component analysis
P Wang, H Liu, AMC So
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
122019
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for -Norm Principal Component Analysis
P Wang, H Liu, AMC So
arXiv preprint arXiv:2107.07107, 2021
92021
Non-convex exact community recovery in stochastic block model
P Wang, Z Zhou, AMC So
Mathematical Programming 195 (1-2), 1-37, 2022
52022
Exact community recovery over signed graphs
X Wang, P Wang, AMC So
International Conference on Artificial Intelligence and Statistics, 9686-9710, 2022
52022
A nearly-linear time algorithm for exact community recovery in stochastic block model
P Wang, Z Zhou, AMC So
International Conference on Machine Learning, 10126-10135, 2020
52020
Convergence and recovery guarantees of the k-subspaces method for subspace clustering
P Wang, H Liu, AMC So, L Balzano
International Conference on Machine Learning, 22884-22918, 2022
32022
Linear Convergence Analysis of Neural Collapse with Unconstrained Features
P Wang, H Liu, C Yaras, L Balzano, Q Qu
OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022
22022
Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for -Norm Principal Component Analysis
P Wang, H Liu, AMC So
SIAM Journal on Optimization 33 (2), 684-712, 2023
12023
Projected Tensor Power Method for Hypergraph Community Recovery
J Wang, YM Pun, X Wang, P Wang, AMC So
12023
Difference-of-Convex Reformulation for Chance Constrained Programs
P Wang, R Jiang, Q Kong, L Balzano
arXiv preprint arXiv:2301.00423, 2023
12023
Fast first-order methods for the massive robust multicast beamforming problem with interference temperature constraints
H Liu, P Wang, AMC So
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
12019
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
C Yaras, P Wang, W Hu, Z Zhu, L Balzano, Q Qu
arXiv preprint arXiv:2306.01154, 2023
2023
A Linearly Convergent Algorithm for Rotationally Invariant -Norm Principal Component Analysis
T Zheng, P Wang, AMC So
arXiv preprint arXiv:2210.05066, 2022
2022
Fast First-Order Methods for Structured Non-convex Non-Smooth Problems with Provable Guarantees
P Wang
PQDT-Global, 2020
2020
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