Get 20% off all career paths from fullstack to AI
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the intricacies of Relaxed Locally Decodable Codes in this 51-minute IEEE lecture. Delve into a comprehensive overview, starting with a recap and high-level approach before examining nonadaptive techniques, random sampling, and biased decoders. Investigate the concept of relaxed local decoders and their connection to sunflowers and daisies. Conclude by exploring potential extensions to this fascinating area of coding theory.
Syllabus
Introduction
Recap
Highlevel Approach
Nonadaptive Approach
Random Sampling
Biased Decoder
Relaxed Local Decoder
Sunflowers
daisies
Extensions
Taught by
IEEE FOCS: Foundations of Computer Science