matrix factorization

Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering AAAI 2026 Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026 Orthogonal Spatial-Aware Multi-View Anchor Graph Clustering for Incomplete Remote Sensing Data CVPR 2026 Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026 Dynamic Anchor-based Ensemble Clustering via Hypergraph Reconstruction IJCAI 2025 Efficient Learning with Sine-Activated Low-Rank Matrices ICLR 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization ICLR 2025 HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning NAACL 2025 Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery ICCV 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 On Speeding Up Language Model Evaluation ICLR 2025 On the Crucial Role of Initialization for Matrix Factorization ICLR 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization ICML 2025 Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data AAAI 2025 Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML ICLR 2025 SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization AAAI 2025 Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization ICLR 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024 Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024 AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024 Amortized Eigendecomposition for Neural Networks NeurIPS 2024 Banded Square Root Matrix Factorization for Differentially Private Model Training NeurIPS 2024