conftrace_
← Core Methods
Machine Learning › Core Methods ›

Kernel Methods

642 papers

Papers per year

9
23
20
31
19
'05
'10
'15
'20
'25

Papers

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010
Nonlinear functional regression: a functional RKHS approach AISTATS 2010
The Feature Selection Path in Kernel Methods AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010
Online Passive-Aggressive Algorithms on a Budget AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
Fast subtree kernels on graphs NIPS 2009
Linear-time Algorithms for Pairwise Statistical Problems NIPS 2009
Efficient Recovery of Jointly Sparse Vectors NIPS 2009
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Analysis of SVM with Indefinite Kernels NIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
A Fast, Consistent Kernel Two-Sample Test NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Ensemble Nystrom Method NIPS 2009
The Ordered Residual Kernel for Robust Motion Subspace Clustering NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009