matrix factorization

529 papers

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Also known as

BMF LMF NMF SVD MF MRMF

Co-occurring keywords

collaborative filtering (298) recommender system (529) low-rank approximation (322) matrix completion (356) dimensionality reduction (720) gradient descent (1143) model compression (3283) bayesian inference (1904) representation learning (6174) singular value decomposition (216)

Papers

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024

Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024

The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024

Improving Temporal Link Prediction via Temporal Walk Matrix Projection NIPS 2024

Efficient Leverage Score Sampling for Tensor Train Decomposition NIPS 2024

On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024

Fine-Grained Bipartite Concept Factorization for Clustering CVPR 2024

Banded Square Root Matrix Factorization for Differentially Private Model Training NIPS 2024

ESPACE: Dimensionality Reduction of Activations for Model Compression NIPS 2024

Weight decay induces low-rank attention layers NIPS 2024

Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NIPS 2024

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024

Embedded Feature Selection on Graph-Based Multi-View Clustering AAAI 2024

Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024

Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024

SGD vs GD: Rank Deficiency in Linear Networks NIPS 2024

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024

AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024

Identifying Selections for Unsupervised Subtask Discovery NIPS 2024

Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization ICML 2023

A Fast Adaptive Randomized PCA Algorithm IJCAI 2023

Mixed Regression via Approximate Message Passing JMLR 2023