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Matrix Factorization

383 directly classified papers

Papers per year

Papers

Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025
Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery AAAI 2025
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025
On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties JMLR 2024
Fine-Grained Bipartite Concept Factorization for Clustering CVPR 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024
Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024
A tensor factorization model of multilayer network interdependence JMLR 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024
Delegation-Relegation for Boolean Matrix Factorization AAAI 2024
Identifying Selections for Unsupervised Subtask Discovery NIPS 2024
Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024