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

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018
Minimax Estimation of Kernel Mean Embeddings JMLR 2017
Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017
Distributed Learning with Regularized Least Squares JMLR 2017
Variational Inference for Gaussian Process Models with Linear Complexity NIPS 2017
A Framework for Optimal Matching for Causal Inference AISTATS 2017
Relative Error Embeddings of the Gaussian Kernel Distance ALT 2017
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NIPS 2017
On Kernelized Multi-armed Bandits ICML 2017
Online Learning for Multivariate Hawkes Processes NIPS 2017
Poisson intensity estimation with reproducing kernels AISTATS 2017
Density Estimation in Infinite Dimensional Exponential Families JMLR 2017
Linearly constrained Gaussian processes NIPS 2017
Invariance and Stability of Deep Convolutional Representations NIPS 2017
Back to the Future: Radial Basis Function Networks Revisited AISTATS 2016
Kernel Bayesian Inference with Posterior Regularization NIPS 2016
Convergence guarantees for kernel-based quadrature rules in misspecified settings NIPS 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks NIPS 2016
Operator-valued Kernels for Learning from Functional Response Data JMLR 2016
A Kernel Test of Goodness of Fit ICML 2016
Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests ICML 2016