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Query complexity lower bounds for local list-decoding and hard-core predicates (even for small rate

Talkat ITCS 2021 · 2021-01-06..01-08
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Proves query lower bounds for local list decoding of very low‑rate binary codes and shows these bounds hold even for exponentially large lists. Main quantitative claims: for half-minus-epsilon error radius any local list decoder needs omega(1/epsilon^2) queries when epsilon ≥ 1/poly(K) (matching Goldreich–Levin), and at small epsilon the paper gives an omega(1/√epsilon) lower bound. Proof reduces decoding to a randomized approximate task and embeds it into an AC0 coin problem circuit lower bound to get the query tradeoffs.

AI-written summary · about

  1. 0:00Introduction
  2. 0:18Outline
  3. 0:53Open problems
  4. 1:46Local listdecoding
  5. 4:09Query complexity lower bounds
  6. 5:52Gold Rush 11 Theorem
  7. 10:13Proof
  8. 13:58AC0 circuit
  9. 19:02Theorem
  10. 19:32Open questions
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