~/talk

Beyond Worst Case Analysis in Approximation

name:Uri Feige
links:none on file
slides:none on file

Surveys five problems and gives concrete claims: Max‑3SAT is stuck at a 7/8 hardness threshold even for natural random formulas; Min‑Bisection and 3‑coloring become tractable on dense random or planted models via spectral and SDP methods; a planted anti‑geometric model for 3‑coloring resists existing SDP rounding and poses an explicit algorithmic gap; unique games are easier under several semi‑random generators; densest k‑subgraph improvements follow from detecting planted subgraphs by log‑density thresholds.

AI-written summary · about

  1. 0:00Intro
  2. 0:44Plan of talk
  3. 1:06A question to keep in mind
  4. 1:56Max 3-SAT
  5. 2:49Random max-3SAT
  6. 9:16Random instances of bisection
  7. 12:09Other distributions of random graphs
  8. 14:13Algorithmic connections
  9. 15:19The load on edges in a spanning tree
  10. 19:58Min 3-coloring
  11. 21:41Vector 3-coloring
  12. 25:20Number of colors used expressed as nº
  13. 27:41Max 3-coloring
  14. 31:32Random host graph H
  15. 31:53Remove monochromatic edges
  16. 32:03The algorithmic task
  17. 32:24Random 3-colorable graphs
  18. 34:45A challenge
  19. 38:31A geometric question
  20. 43:36Four semi-random models for unique games
  21. 49:28Log-density
  22. 52:12Open question
  23. 54:50Summary
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