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Kernel Methods

571 directly classified papers

Papers per year

Papers

Data-driven Random Fourier Features using Stein Effect IJCAI 2017
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds CVPR 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NIPS 2017
An Empirical Study on The Properties of Random Bases for Kernel Methods NIPS 2017
Max-Margin Invariant Features from Transformed Unlabelled Data NIPS 2017
Learning Deep Match Kernels for Image-Set Classification CVPR 2017
The Impact of Modeling Overall Argumentation with Tree Kernels EMNLP 2017
Shortest-Path Graph Kernels for Document Similarity EMNLP 2017
Deep Learning in Semantic Kernel Spaces ACL 2017
Gaussian Quadrature for Kernel Features NIPS 2017
Persistence weighted Gaussian kernel for topological data analysis ICML 2016
Multiple Kernel Learning with Data Augmentation ACML 2016
Cost Sensitive Online Multiple Kernel Classification ACML 2016
Random Fourier Features For Operator-Valued Kernels ACML 2016
Streaming Kernel Principal Component Analysis AISTATS 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
Large Scale Online Kernel Learning JMLR 2016
Kernel Mean Shrinkage Estimators JMLR 2016
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions JMLR 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016
Megaman: Scalable Manifold Learning in Python JMLR 2016
Learning Theory for Distribution Regression JMLR 2016