conftrace_

low-rank matrix recovery

57 papers

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Also known as

LRMR

Co-occurring keywords

matrix completion (356) low-rank matrix (174) robust principal component analysis (62) matrix recovery (51) gradient descent (1144) convex optimization (1321) low-rank recovery (42) nonconvex optimization (316) non-convex optimization (547) restricted isometry property (31)

Papers

Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023
Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing COLT 2023
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023
Low-rank matrix recovery with unknown correspondence UAI 2023
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022
Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity AISTATS 2022
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements AAAI 2022
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery NIPS 2021
Adaptive Rank Estimate in Robust Principal Component Analysis CVPR 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NIPS 2021
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery NIPS 2021
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems AISTATS 2021
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization NIPS 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
How many samples is a good initial point worth in Low-rank Matrix Recovery? NIPS 2020
Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements ICML 2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NIPS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 2019