Search Results for author: Pokman Cheung

Found 4 papers, 0 papers with code

Extrinsic Bayesian Optimizations on Manifolds

no code implementations21 Dec 2022 Yihao Fang, Mu Niu, Pokman Cheung, Lizhen Lin

We propose an extrinsic Bayesian optimization (eBO) framework for general optimization problems on manifolds.

Bayesian Optimization Gaussian Processes +1

Heat kernel and intrinsic Gaussian processes on manifolds

no code implementations25 Jun 2020 Ke Ye, Mu Niu, Pokman Cheung

In this work, we propose an intrinsic approach of constructing the Gaussian process on \if more \fi general manifolds \if {\color{red} in the matrix Lie groups} \fi such as orthogonal groups, unitary groups, Stiefel manifolds and Grassmannian manifolds.

Gaussian Processes regression

Intrinsic Gaussian processes on complex constrained domains

no code implementations3 Jan 2018 Mu Niu, Pokman Cheung, Lizhen Lin, Zhenwen Dai, Neil Lawrence, David Dunson

in-GPs respect the potentially complex boundary or interior conditions as well as the intrinsic geometry of the spaces.

Gaussian Processes valid

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