matrix factorization

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Large-Scale Matrix Factorization with Missing Data under Additional Constraints NeurIPS 2010 Online Learning for Matrix Factorization and Sparse Coding JMLR 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Random Projections for k-means Clustering NeurIPS 2010 Reduced-Rank Hidden Markov Models AISTATS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Factor Modeling for Advertisement Targeting NeurIPS 2009 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009 Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009 Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 Bayesian Exponential Family PCA NeurIPS 2008 Consistency of Trace Norm Minimization JMLR 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 Heterogeneous Component Analysis NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Exploiting Locality in SLAM by Nested Dissection RSS 2006