Matrix Factorization

Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors JMLR 2026 Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025 Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025 Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery AAAI 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML ICLR 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 An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling NeurIPS 2024 A tensor factorization model of multilayer network interdependence JMLR 2024 Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning UAI 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Delegation-Relegation for Boolean Matrix Factorization AAAI 2024 Efficient Leverage Score Sampling for Tensor Train Decomposition NeurIPS 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 Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024 Fine-Grained Bipartite Concept Factorization for Clustering CVPR 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 Identifying Selections for Unsupervised Subtask Discovery NeurIPS 2024 LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024 On Socially Fair Low-Rank Approximation and Column Subset Selection NeurIPS 2024 On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024 Sparse NMF with Archetypal Regularization: Computational and Robustness Properties JMLR 2024