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

Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry

no code implementations25 Jun 2020 Ke Ye, Mu Niu, Pokman Cheung, Zhenwen Dai, YuAn Liu

The introduction of our strip algorithm, tailored for manifolds with extra symmetries, and the ball algorithm, designed for arbitrary manifolds, constitutes our significant contribution.

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

Cannot find the paper you are looking for? You can Submit a new open access paper.