conftrace_

reproducing kernel hilbert space

334 papers

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Also known as

RKHS

Co-occurring keywords

kernel methods (1097) gaussian process (1200) maximum mean discrepancy (164) regret bound (1926) kernel ridge regression (111) support vector machine (978) convex optimization (1321) kernel mean embedding (43) generalization bound (652) bayesian optimization (624)

Papers

Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures NIPS 2015
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses JMLR 2015
Learning Multiple Visual Tasks While Discovering Their Structure CVPR 2015
Two-stage sampled learning theory on distributions AISTATS 2015
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015
Statistical Topological Data Analysis - A Kernel Perspective NIPS 2015
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014
Kernel Mean Estimation and Stein Effect ICML 2014
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014
Kernel Mean Estimation via Spectral Filtering NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NIPS 2014
Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014
Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014
Recovering Distributions from Gaussian RKHS Embeddings AISTATS 2014
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
Differential Privacy for Functions and Functional Data JMLR 2013
Nonparametric Sparsity and Regularization JMLR 2013
A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NIPS 2013
A Kernel Test for Three-Variable Interactions NIPS 2013