rkhs

Here are 3 public repositories matching this topic...

ViktorAJStein / Regularized_f_Divergence_Particle_Flows

Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.

mmd regularization sampling rkhs gradient-flow sampling-methods f-divergence wasserstein-gradient-flows particle-flow reproducing-kernel-hilbert-space

Updated Feb 21, 2025
Python

rafaol / active-learning-conditional-mean-embeddings

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Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.

kernel-methods rkhs gaussian-processes bayesian-optimization active-learning approximate-inference kernel-embeddings kernel-mean-embeddings conditional-mean-embeddings

Updated Aug 19, 2022
Python

RamyaLab / metric-learning-RKHS

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This repository provides code for the simulations and experiments in our paper: Metric Learning in an RKHS @ The 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025).

metric-learning rkhs

Updated May 20, 2025
Python

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