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Matrix Factorization

408 papers

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Papers

Robust Object Co-detection CVPR 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition ICCV 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 A latent factor model for highly multi-relational data NeurIPS 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Collaborative Ranking With 17 Parameters NeurIPS 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Learning Label Trees for Probabilistic Modelling of Implicit Feedback NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Near-Optimal Algorithms for Online Matrix Prediction COLT 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012