conftrace_

matrix completion

356 papers

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Also known as

MC

Co-occurring keywords

low-rank matrix (174) convex optimization (1321) low-rank approximation (323) collaborative filtering (300) matrix factorization (529) nuclear norm (79) low-rank matrix recovery (57) nonconvex optimization (316) gradient descent (1144) matrix recovery (51)

Papers

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026
Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing AAAI 2026
Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding AACL 2025
Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding IJCNLP 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Deep-Union Completion AAAI 2025
Flexible Generalized Low-Rank Regularizer for Tensor RPCA IJCAI 2025
Dynamic angular synchronization under smoothness constraints JMLR 2025
Multi-Label Ranking Loss Minimization for Matrix Completion AAAI 2025
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm IJCAI 2025
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion NIPS 2024
Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion NIPS 2024
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness NIPS 2024
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NIPS 2024
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding EMNLP 2024
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data IJCAI 2024
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection IJCAI 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
A non-backtracking method for long matrix and tensor completion COLT 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NIPS 2024
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024