conftrace_

matrix recovery

51 papers

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Co-occurring keywords

low-rank matrix (174) matrix completion (356) low-rank matrix recovery (57) low-rank recovery (42) robust principal component analysis (62) convex optimization (1321) compressed sensing (201) nuclear norm (79) convex relaxation (112) nonconvex optimization (316)

Papers

Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm IJCAI 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares NIPS 2023
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023
Lower Bounds on Adaptive Sensing for Matrix Recovery NIPS 2023
Robust Methods for High-Dimensional Linear Learning JMLR 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model NIPS 2023
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022
Robust principal component analysis for generalized multi-view models UAI 2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NIPS 2021
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion JMLR 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 2019
Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019
Decentralized sketching of low rank matrices NIPS 2019
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming JMLR 2019
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019
Blind Deconvolutional Phase Retrieval via Convex Programming NIPS 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NIPS 2018