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First-order and Stochastic Optimization Methods for Machine Learning

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Cover of 'First-order and Stochastic Optimization Methods for Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning Models
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    Chapter 2 Convex Optimization Theory
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    Chapter 3 Deterministic Convex Optimization
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    Chapter 4 Stochastic Convex Optimization
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    Chapter 5 Convex Finite-Sum and Distributed Optimization
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    Chapter 6 Nonconvex Optimization
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    Chapter 7 Projection-Free Methods
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    Chapter 8 Operator Sliding and Decentralized Optimization
Attention for Chapter 2: Convex Optimization Theory
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