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← Core Methods
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Matrix Factorization
383 directly classified papers
Papers per year
2004: 1
2006: 6
2007: 3
2008: 5
2009: 5
2010: 11
2011: 15
2012: 23
2013: 36
2014: 32
2015: 21
2016: 25
2017: 25
2018: 40
2019: 29
2020: 28
2021: 24
2022: 13
2023: 15
2024: 22
2025: 4
Papers
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
JMLR 2024
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
JMLR 2023
Fitting low-rank models on egocentrically sampled partial networks
AISTATS 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
AISTATS 2023
Differentially Private Matrix Completion through Low-rank Matrix Factorization
AISTATS 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
JMLR 2023
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
JMLR 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
NIPS 2023
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
ICML 2023
A Joint Matrix Factorization Analysis of Multilingual Representations
EMNLP 2023
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
ICML 2023
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
NIPS 2023
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
ICML 2023
Under-Counted Tensor Completion with Neural Incorporation of Attributes
ICML 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
JMLR 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
NIPS 2023
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
NIPS 2022
Fused Orthogonal Alternating Least Squares for Tensor Clustering
NIPS 2022
Tensor Wheel Decomposition and Its Tensor Completion Application
NIPS 2022
A Random Matrix Perspective on Random Tensors
JMLR 2022
Fast Stagewise Sparse Factor Regression
JMLR 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
AISTATS 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
ICML 2022
KoPA: Automated Kronecker Product Approximation
JMLR 2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
EMNLP 2022
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