Matrix Factorization

Large-Scale Matrix Factorization with Missing Data under Additional Constraints NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Ensemble Nystrom Method NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 Deflation Methods for Sparse PCA NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007