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1. Latent Factor Approximating Models for Stochastic Optimization: Applications to Power System Planning

open_access
Open Access
Author:
Bukenberger, Jesse
Title:
Latent Factor Approximating Models for Stochastic Optimization: Applications to Power System Planning
Graduate Program:
Industrial Engineering
Keywords:
Transmission Planning
Stochastic Optimization
Principal Components Analysis
Large-Scale Optimization
Discrete Optimization
Approximation Methods
Clustering Methods
Energy Systems
Planning
File:
Download Bukenberger_Dissertation.pdf
Committee Members:
Mort D Webster, Dissertation Advisor/Co-Advisor
Mort D Webster, Committee Chair/Co-Chair
Vinayak V Shanbhag, Committee Member
Eunhye Song, Committee Member
Steven J Greybush, Outside Member
Steven James Landry, Program Head/Chair

2. COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS

open_access
Open Access
Author:
Sterge, Nicholas
Title:
COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS
Graduate Program:
Statistics
Keywords:
Statistics
Kernel Methods
Machine Learning
Principal Component Analysis
Approximation Methods
File:
Download NicholasJSterge_Dissertation_2_0.pdf
Committee Members:
John Harlim, Outside Unit & Field Member
Bharath Kumar Sriperumbudur, Chair & Dissertation Advisor
Bing Li, Major Field Member
Ethan Fang, Major Field Member
Ephraim Mont Hanks, Program Head/Chair