conftrace_

kernel matrix

73 papers

Explore in graph

Co-occurring keywords

kernel methods (1097) low-rank approximation (323) matrix approximation (89) determinantal point process (140) kernel learning (102) support vector machine (978) gaussian process (1200) nystrom method (46) matrix factorization (529) kernel approximation (100)

Papers

Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification ACML 2013
Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
A new metric on the manifold of kernel matrices with application to matrix geometric means NIPS 2012
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NIPS 2012
A novel greedy algorithm for Nyström approximation AISTATS 2011
Learning low-rank output kernels ACML 2011
Support Vector Machines Under Adversarial Label Noise ACML 2011
Inductive Regularized Learning of Kernel Functions NIPS 2010
Graph Kernels JMLR 2010
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
Ensemble Nystrom Method NIPS 2009
Multi-label Multiple Kernel Learning NIPS 2008
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection JMLR 2005
Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
A Compression Approach to Support Vector Model Selection JMLR 2004
Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001