conftrace_
← Core Methods
Machine Learning › Core Methods ›

Matrix Factorization

383 papers

Papers per year

11
21
28
4
'10
'15
'20
'25

Papers

Low-Rank Time-Frequency Synthesis NIPS 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014
Non-convex Robust PCA NIPS 2014
Tight convex relaxations for sparse matrix factorization NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014
Multitask learning meets tensor factorization: task imputation via convex optimization NIPS 2014
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014
Robust Tensor Decomposition with Gross Corruption NIPS 2014
DFacTo: Distributed Factorization of Tensors NIPS 2014
Multi-Scale Spectral Decomposition of Massive Graphs NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014
Fast matrix completion without the condition number COLT 2014
Computational Limits for Matrix Completion COLT 2014
Collective Matrix Factorization Hashing for Multimodal Data CVPR 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014
Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014