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Linear Algebra

480 papers

Papers per year

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2
36
44
9
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Papers

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