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Internal Compression of Protocols to Entropy

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Claims an interactive compression method that matches external entropy up to a constant (empirically about 1.82), and an internal compression that replaces the previous O(H_int · log CC) bound with roughly O(H_int · log log CC) at the cost of allowing small error. Construction is a deterministic protocol using the meaningful vertex idea plus fast search subroutines (Feige–et al. first-difference variant and Braverman–Rao style sampling). External simulation is zero-error and tight; internal simulation is randomized and practical with the stated bounds.

AI-written summary · about

  1. 0:00Intro
  2. 1:07A conversation that is easy to compress
  3. 2:11What does "compression" mean?
  4. 2:55Information complexities: external and internal information
  5. 4:10Information complexities: external and internal entropies
  6. 5:07Information versus entropy
  7. 8:31Internal simulation
  8. 9:50Lower bounds
  9. 10:41External compression: Upper bounds
  10. 13:08Internal compression: Upper bounds
  11. 14:09External simulation (Dietzfelbinger-Wunderlich)
  12. 16:54An external compression: Summary
  13. 17:25Internal compression - meaningful vertices
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