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Author:

Xie, Yue

Title:

On addressing nonconvexity, stochasticity and complementarity in mathematical optimization

Graduate Program:

Industrial Engineering

Keywords:

nonconvex optimization
stochastic optimization
statistical learning
algorithm
variational inequality
robust optimization

File:

Download Yue_Xie-Disseration_finalsubmitted_.pdf

Committee Members:

Uday V Shanbhag, Dissertation Advisor/Co-Advisor
Uday V Shanbhag, Committee Chair/Co-Chair
Necdet S Aybat, Committee Member
Tao Yao, Committee Member
Runze Li, Outside Member
Ethan Fang, Committee Member

Author:

Liu, Bingyuan

Title:

Topics on Nonconvex Learning

Graduate Program:

Statistics

Keywords:

Nonconvex optimization
machine learning
statistical learning
deep learning

File:

Download Thesis_BingyuanLiu.pdf

Committee Members:

Lingzhou Xue, Dissertation Advisor/Co-Advisor
Runze Li, Committee Member
Bing Li, Committee Member
Yanyuan Ma, Committee Member
Zihan Zhou, Outside Member
Ephraim Mont Hanks, Program Head/Chair
Lingzhou Xue, Committee Chair/Co-Chair

Author:

Tao, Jun

Title:

New advances in structure learning of graphical models

Graduate Program:

Statistics (PHD)

Keywords:

graphical model
statistical learning

File:

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Committee Members:

Ephraim Mont Hanks, Professor in Charge/Director of Graduate Studies
Lingzhou Xue, Chair & Dissertation Advisor
Antonio Blanca, Outside Unit & Field Member
Bing Li, Dissertation Co-Advisor
Runze Li, Major Field Member