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Geometric Aspects of Sampling and Optimization

Offered By: Simons Institute via YouTube

Tags

Geometry Courses Data Science Courses Sampling Courses

Course Description

Overview

Explore geometric perspectives on sampling and optimization in this 30-minute lecture by Philippe Rigollet from MIT, presented at the Foundations of Data Science Institute Kickoff Workshop. Delve into the intricate connections between geometry, sampling techniques, and optimization methods, gaining insights into their applications in data science and machine learning. Discover how geometric principles can enhance understanding and improve algorithms in these critical areas of study.

Syllabus

Geometric Aspects of Sampling and Optimization


Taught by

Simons Institute

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