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Matrix Completion

103 directly classified papers

Papers per year

Papers

Deep-Union Completion AAAI 2025
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
Multi-Label Ranking Loss Minimization for Matrix Completion AAAI 2025
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023
Convergence of Alternating Gradient Descent for Matrix Factorization NIPS 2023
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing AAAI 2023
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022
Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space CVPR 2022
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022
Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021
Fine-grained Generalization Analysis of Inductive Matrix Completion NIPS 2021
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series NIPS 2021
Tensor Completion Made Practical NIPS 2020
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization NIPS 2020
Linear-Sample Learning of Low-Rank Distributions NIPS 2020
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering AAAI 2020
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NIPS 2019
Online High Rank Matrix Completion CVPR 2019
Nonconvex Low-Rank Tensor Completion from Noisy Data NIPS 2019
Active multiple matrix completion with adaptive confidence sets AISTATS 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019