Optimization Part 1 Suvrit Sra

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The lecture was held within the framework of the Hausdorff Trimester Program "Mathematics of Signal Processing". (21.1.2016)

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These lectures will cover both basics as well as cutting-edge topics in large-scale convex and nonconvex

This is Stephen Boyd's first talk on

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Abstract: Many machine learning and signal processing problems are traditionally cast as convex

Introduction to

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The lecture was held within the framework of the Hausdorff Trimester Program "Mathematics of Signal Processing". (26.1.2016)

The lecture was held within the framework of the Hausdorff Trimester Program "Mathematics of Signal Processing". (28.1.2016)

NIPS 2016 Workshop on Nonconvex

Many machine learning and signal processing problems are traditionally cast as convex

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course ...

Abstract: Submodular functions capture a wide spectrum of discrete problems in machine learning, signal processing and ...