Adaptive surrogate modeling for high dimensional problems using Autoencoder Gaussian Process

Zhao, Jiayi

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University of Illinois at Urbana-Champaign

Adaptive surrogate modeling for high dimensional problems using Autoencoder Gaussian Process

dc:creator Zhao, Jiayi

thesis:degree_name M.S.

dc:date2024

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01

Degree

thesis:*

Name thesis:degree_name: M.S.
Level thesis:degree_level: Thesis
Discipline thesis:degree_discipline: Industrial Engineering
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2024

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Zhao, Jiayi
Contributors dc:contributor: Wang, Pingfeng

Subjects

dc:subject × 4

Rights

dc:rights

Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/127512
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/127512

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Zhao, Jiayi. Adaptive surrogate modeling for high dimensional problems using Autoencoder Gaussian Process. Thesis thesis, University of Illinois at Urbana-Champaign, 2024. https://hdl.handle.net/2142/127512

Adaptive surrogate modeling for high dimensional problems using Autoencoder Gaussian Process

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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