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Liangzu Peng
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An algebraic-geometric approach for linear regression without correspondences
MC Tsakiris, L Peng, A Conca, L Kneip, Y Shi, H Choi
IEEE Transactions on Information Theory 66 (8), 5130-5144, 2020
53*2020
Homomorphic sensing
M Tsakiris, L Peng
International Conference on Machine Learning, 2019
452019
Linear regression without correspondences via concave minimization
L Peng, MC Tsakiris
IEEE Signal Processing Letters 27, 1580-1584, 2020
262020
The Ideal Continual learner: An Agent That Never Forgets
L Peng, P Giampouras, R Vidal
International Conference on Machine Learning, 2023
132023
Homomorphic Sensing: Sparsity and Noise
L Peng, B Wang, M Tsakiris
International Conference on Machine Learning, 2021
132021
Algebraically-initialized expectation maximization for header-free communication
L Peng, X Song, MC Tsakiris, H Choi, L Kneip, Y Shi
IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
132019
Unlabeled principal component analysis
Y Yao, L Peng, M Tsakiris
Advances in Neural Information Processing Systems, 2021
122021
Homomorphic sensing of subspace arrangements
L Peng, MC Tsakiris
Applied and Computational Harmonic Analysis 55, 466-485, 2021
122021
ARCS: Accurate Rotation and Correspondence Search
L Peng, MC Tsakiris, R Vidal
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
112022
Semidefinite relaxations of truncated least-squares in robust rotation search: Tight or not
L Peng, M Fazlyab, R Vidal
European Conference on Computer Vision, 2022
9*2022
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
L Peng, C Kümmerle, R Vidal
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
72023
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
L Peng, C Kümmerle, R Vidal
Advances in Neural Information Processing Systems, 2022
72022
Block Coordinate Descent on Smooth Manifolds: Convergence Theory and Twenty-One Examples
L Peng, R Vidal
Conference on Parsimony and Learning (Recent Spotlight Track), 2023
4*2023
Unsigned Matrix Completion
Y Yao, L Peng, MC Tsakiris
IEEE International Symposium on Information Theory, 2021
22021
Accelerating Globally Optimal Consensus Maximization in Geometric Vision
X Zhang, L Peng, W Xu, L Kneip
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2024
HARD: Hyperplane ARrangement Descent
T Ding, L Peng, R Vidal
Conference on Parsimony and Learning, 134-158, 2024
2024
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation: Main Paper+ Supplementary Materials
L Peng, C Kümmerle, R Vidal
ARCS: Accurate Rotation and Correspondence Search Supplementary Materials
L Peng, MC Tsakiris, R Vidal
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Articles 1–18