spectral method

Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NeurIPS 2011 Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Matrix Completion from Noisy Entries JMLR 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Semi-Supervised Learning in Gigantic Image Collections NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Spectral Hashing NeurIPS 2008 Colored Maximum Variance Unfolding NeurIPS 2007 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 Balanced Graph Matching NeurIPS 2006 Convergence of Laplacian Eigenmaps NeurIPS 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006