Optimization for Data Science

This course provides an in-depth theoretical treatment of optimization methods that are relevant in data science.

AVAILABLE
READING ROOM ONLY
NOT AVAILABLE
ONLINE VERSION
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High-dimensional statistics

A non-asymptotic viewpoint

Martin J. Wainwright (University of California, Berkeley)

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.204.03.2 2019 11 / 5 Optimization for Data Science Available
Textbook.M.204.03.1 2019 11 / 5 Optimization for Data Science On-site use only
Textbook.M.165.01.1 2019 8 / 1 Algorithmic Foundations of Data Science 20.12.2024 Unavailable
AVAILABLE
READING ROOM ONLY
NOT AVAILABLE
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Convex optimization

Algorithms and complexity

Sébastien Bubeck

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.204.02.1 2015 11 / 5 Optimization for Data Science Available
Textbook.M.204.02.2 2015 11 / 5 Optimization for Data Science Available
AVAILABLE
READING ROOM ONLY
NOT AVAILABLE
ONLINE VERSION
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Convex optimization

Stephen Boyd, Lieven Vandenberghe

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.204.01.1 2004 11 / 5 Optimization for Data Science Available
Textbook.M.204.01.2 2004 11 / 5 Optimization for Data Science 17.1.2025 Unavailable