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

(Amplified) Banded Matrix Factorization: A unified approach to private training NIPS 2023

Convergence of Alternating Gradient Descent for Matrix Factorization NIPS 2023

Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NIPS 2023

Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent NIPS 2023

Light Source Separation and Intrinsic Image Decomposition Under AC Illumination CVPR 2023

KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization UAI 2023

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation EACL 2023

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NIPS 2023

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings NIPS 2023

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models EACL 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NIPS 2023

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

Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023

Re-ReND: Real-Time Rendering of NeRFs across Devices ICCV 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data AAAI 2023

One-sided Matrix Completion from Two Observations Per Row ICML 2023

Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023

A Joint Matrix Factorization Analysis of Multilingual Representations EMNLP 2023

Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss ICML 2023

Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data IJCAI 2023

Toward Job Recommendation for All IJCAI 2023

A Fast Adaptive Randomized PCA Algorithm IJCAI 2023

Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning ICML 2023

A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces AISTATS 2023