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Matrix Factorization

383 papers

Papers per year

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

Papers

Minimax Algorithm for Learning Rotations COLT 2011
A Simpler Approach to Matrix Completion JMLR 2011
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
Variational bounds for mixed-data factor analysis NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Practical Large-Scale Optimization for Max-norm Regularization NIPS 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010
Large-Scale Matrix Factorization with Missing Data under Additional Constraints NIPS 2010
Hierarchical Convex NMF for Clustering Massive Data ACML 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Matrix Completion from Power-Law Distributed Samples NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Ensemble Nystrom Method NIPS 2009
Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
Deflation Methods for Sparse PCA NIPS 2008
Adaptive Template Matching with Shift-Invariant Semi-NMF NIPS 2008
Predictive Matrix-Variate t Models NIPS 2007
Probabilistic Matrix Factorization NIPS 2007