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Topics in Machine Learning Optimization

Description:

Recently, machine learning and deep learning, which have made many theoretical and empir- ical breakthroughs and is widely applied in various fields, attract a great number of researchers and practitioners. They have become one of the most popular research directions and plays a sig- nificant role in many fields, such...

Keyword:

Algorithm Design, Deep Learning, Optimization, and Machine Learning

Subject:

Applied mathematics and Operations research

Creator:

Fang, Biyi

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/02/2022

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15817 and etdadmin_upload_855647
Optimization Methods for Scale Invariant Problems in Machine Learning

Description:

While optimization has received much attention in the machine learning community, most of them consider unconstrained supervised learning models such as neural networks and support vector machine. In this dissertation, we introduce a new class of optimization problems called scale invariant problems that include interesting unsupervised learning models such as...

Keyword:

Power Iteration, PCA, Optimization, Machine Learning, Scale Invariance, and KL-NMF

Subject:

Applied mathematics and Operations research

Creator:

Kim, Cheolmin

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15139 and etdadmin_upload_744178

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