Matrix Factorization

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming ICLR 2024 Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NeurIPS 2024 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024 Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024 A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023 Fast (1+ε)-Approximation Algorithms for Binary Matrix Factorization ICML 2023 Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023 Kissing to Find a Match: Efficient Low-Rank Permutation Representation NeurIPS 2023 Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices JMLR 2023 On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure JMLR 2023 Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points ICML 2023 Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023 Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023 Under-Counted Tensor Completion with Neural Incorporation of Attributes ICML 2023 Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing ICML 2023 A Random Matrix Perspective on Random Tensors JMLR 2022 Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent NeurIPS 2022 Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022 Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022 Fast Stagewise Sparse Factor Regression JMLR 2022