reproducing kernel

Geometric Learning with Positively Decomposable Kernels JMLR 2024 Kernel Thinning JMLR 2024 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Training Lipschitz Continuous Operators Using Reproducing Kernels L4DC 2022 Nonparametric estimation of continuous DPPs with kernel methods NeurIPS 2021 Distributed Minimum Error Entropy Algorithms JMLR 2020 Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces NeurIPS 2020 Robust modal regression with direct gradient approximation of modal regression risk UAI 2020 Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds CVPR 2017 Measuring Sample Quality with Kernels ICML 2017 Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis NeurIPS 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Convolutional Kernel Networks NeurIPS 2014 Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NeurIPS 2011 Spectral Regularization for Support Estimation NeurIPS 2010 Refinement of Reproducing Kernels JMLR 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009