conftrace_

hilbert space

43 papers

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Co-occurring keywords

kernel methods (1097) representer theorem (27) reproducing kernel (19) support vector machine (978) quantum computing (88) metric learning (1190) distribution matching (127) maximum mean discrepancy (164) kernel mean embedding (43) feature mapping (46)

Papers

A Unifying View of Representer Theorems ICML 2014
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NIPS 2014
Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013
Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013
Perceptron Learning of SAT NIPS 2012
The representer theorem for Hilbert spaces: a necessary and sufficient condition NIPS 2012
Kernel Topic Models AISTATS 2012
Learning a Robust Relevance Model for Search Using Kernel Methods JMLR 2011
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NIPS 2011
Refinement of Reproducing Kernels JMLR 2009
Distribution Matching for Transduction NIPS 2009
Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009
Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space NIPS 2006