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

When Do Neural Networks Outperform Kernel Methods? NIPS 2020
Non-asymptotic Analysis for Nonparametric Testing COLT 2020
Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms JMLR 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization AISTATS 2020
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections JMLR 2020
Information Theoretic Regret Bounds for Online Nonlinear Control NIPS 2020
On Mahalanobis Distance in Functional Settings JMLR 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020
Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020
Kernel Methods for Cooperative Multi-Agent Contextual Bandits ICML 2020
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space IJCAI 2020
Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020
Learning Fair Representations for Kernel Models AISTATS 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NIPS 2020
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses ICML 2020
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NIPS 2019
Kernel Normalized Cut: a Theoretical Revisit ICML 2019
Infinite Task Learning in RKHSs AISTATS 2019
Online learning with kernel losses ICML 2019
Autoencoding any Data through Kernel Autoencoders AISTATS 2019
Bayesian Optimization under Heavy-tailed Payoffs NIPS 2019
Recurrent Kernel Networks NIPS 2019