reproducing kernel hilbert space

On kernel-based statistical learning theory in the mean field limit NeurIPS 2023 On the geometry of Stein variational gradient descent JMLR 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023 Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 Reproducing Kernels and New Approaches in Compositional Data Analysis JMLR 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model NeurIPS 2023 Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023 Statistical Robustness of Empirical Risks in Machine Learning JMLR 2023 Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift NeurIPS 2023 A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NeurIPS 2022 Approximation and Learning with Deep Convolutional Models: a Kernel Perspective ICLR 2022 A Witness Two-Sample Test AISTATS 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NeurIPS 2022 Communication Efficient Distributed Learning for Kernelized Contextual Bandits NeurIPS 2022 Data-Driven Chance Constrained Control using Kernel Distribution Embeddings L4DC 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NeurIPS 2022 Functional Linear Regression with Mixed Predictors JMLR 2022 Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022 Gaussian Process Bandit Optimization with Few Batches AISTATS 2022 Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022