← Mathematics
Mathematics & Optimization › Mathematics ›

Linear Algebra

480 directly classified papers

Papers per year

Papers

Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NIPS 2012
Refinement of Operator-valued Reproducing Kernels JMLR 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Learning Anchor Planes for Classification NIPS 2011
Can matrix coherence be efficiently and accurately estimated? AISTATS 2011
Sparse Features for PCA-Like Linear Regression NIPS 2011
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011
A Linear Approximation for Graph-based Simultaneous Localization and Mapping RSS 2011
Anechoic Blind Source Separation Using Wigner Marginals JMLR 2011
Learning low-rank output kernels ACML 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Learning a Robust Relevance Model for Search Using Kernel Methods JMLR 2011
Learning Eigenvectors for Free NIPS 2011
The Group Dantzig Selector AISTATS 2010
Random Projections for $k$-means Clustering NIPS 2010
On Learning Rotations NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Refinement of Reproducing Kernels JMLR 2009
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
Undercomplete Blind Subspace Deconvolution JMLR 2007
Random Projections for Manifold Learning NIPS 2007
A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007