matrix factorization

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NeurIPS 2021 Few-Shot Data-Driven Algorithms for Low Rank Approximation NeurIPS 2021 Few-shot Font Generation with Localized Style Representations and Factorization AAAI 2021 General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NeurIPS 2021 Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization NeurIPS 2021 Graph Constrained Data Representation Learning for Human Motion Segmentation ICCV 2021 Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings ICML 2021 Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback AAAI 2021 Intelligent Recommendations for Citizen Science AAAI 2021 Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies NeurIPS 2021 Light RUMs ICML 2021 Multispectral Illumination Estimation Using Deep Unrolling Network ICCV 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021 One-Pass Multi-View Clustering for Large-Scale Data ICCV 2021 On the Faster Alternating Least-Squares for CCA AISTATS 2021 Out-of-Town Recommendation with Travel Intention Modeling AAAI 2021 Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021 Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NeurIPS 2021 Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021 Probabilistic Sequential Matrix Factorization AISTATS 2021 Projection techniques to update the truncated SVD of evolving matrices with applications ICML 2021 Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery NeurIPS 2021 Recent Advances in Heterogeneous Relation Learning for Recommendation IJCAI 2021 Reduced-Rank Regression with Operator Norm Error COLT 2021 Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives ICML 2021