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

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
Localisation of Regularised and Multiview Support Vector Machine Learning JMLR 2024
Adversarial Contextual Bandits Go Kernelized ALT 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NIPS 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains JMLR 2024
On Regularized Radon-Nikodym Differentiation JMLR 2024
Causal Modeling with Stationary Diffusions AISTATS 2024
Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks JMLR 2024
Localized Adaptive Risk Control NIPS 2024
Deep Hierarchical Graph Alignment Kernels IJCAI 2024
Geometric Learning with Positively Decomposable Kernels JMLR 2024
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024
Globally Convergent Variational Inference NIPS 2024
A General Framework for the Analysis of Kernel-based Tests JMLR 2024
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space JMLR 2024
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
Mean Parity Fair Regression in RKHS AISTATS 2023
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023
Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023