Matrix Completion

Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Matrix reconstruction with the local max norm NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NeurIPS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 A Denoising View of Matrix Completion NeurIPS 2011 Learning Eigenvectors for Free NeurIPS 2011 Learning with the weighted trace-norm under arbitrary sampling distributions NeurIPS 2011 Matrix Completion for Multi-label Image Classification NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 Matrix Completion from Noisy Entries JMLR 2010