matrix completion

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026 Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing AAAI 2026 Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025 A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings ICML 2025 Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding IJCNLP 2025 Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm IJCAI 2025 Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning ICML 2025 Deep-Union Completion AAAI 2025 Dynamic angular synchronization under smoothness constraints JMLR 2025 Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation ICLR 2025 Flexible Generalized Low-Rank Regularizer for Tensor RPCA IJCAI 2025 Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds AISTATS 2025 Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection ICML 2025 Multi-Label Ranking Loss Minimization for Matrix Completion AAAI 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 On adaptivity and minimax optimality of two-sided nearest neighbors AISTATS 2025 Optimal Transfer Learning for Missing Not-at-Random Matrix Completion ICML 2025 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024 A non-backtracking method for long matrix and tensor completion COLT 2024 A Note on Entrywise Consistency for Mixed-data Matrix Completion JMLR 2024 A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness NeurIPS 2024 Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding EMNLP 2024 BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data IJCAI 2024 Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models CLeaR 2024