rkhs

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rafaol / active-learning-conditional-mean-embeddings

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

ViktorAJStein / Regularized_f_Divergence_Particle_Flows

Star

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 Nov 11, 2024
Python

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