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Sharp Threshold Rates for Random Codes

Talkat ITCS 2021 · 2021-01-06..01-08
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Characterizes exact threshold rates for a wide class of monotone symmetric properties of completely random codes: R = 1 − max_tau H_q(tau)/b, shows these thresholds are sharp, and proves tightness of the union-bound lower bound by using the second moment method* for histogram types. Provides an algorithm to compute noisy list-recovery thresholds to any additive error, gives a closed-form threshold for binary p=3 list-decoding, and computes the threshold for perfect hashing; methods distinguish random from random-linear codes.

AI-written summary · about

  1. 0:00Introduction
  2. 2:06List Decoding Capacity Theorem
  3. 3:18Phase Transitions
  4. 4:08Definitions
  5. 5:15Outline
  6. 8:57Theorem
  7. 10:05Proof
  8. 13:40Symmetric Properties
  9. 14:32Summary
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