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

Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes JMLR 2016
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces RSS 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016
Kernel Mean Shrinkage Estimators JMLR 2016
Iterative Regularization for Learning with Convex Loss Functions JMLR 2016
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds CVPR 2016
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016
Stochastic Optimization for Large-scale Optimal Transport NIPS 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NIPS 2016
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NIPS 2016
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
Joint quantile regression in vector-valued RKHSs NIPS 2016
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016
Localized Multiple Kernel Learning—A Convex Approach ACML 2016
Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis NIPS 2016
Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016
Random Fourier Features For Operator-Valued Kernels ACML 2016
Synergy of Monotonic Rules JMLR 2016
Learning Theory for Distribution Regression JMLR 2016
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016
Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering AISTATS 2015
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval CVPR 2015