Graduate Complexity Theory

Graduate Complexity Theory

Ryan O'Donnell via YouTube Direct link

Ironic complexity: Graduate Complexity Lecture 27 at CMU

29 of 29

29 of 29

Ironic complexity: Graduate Complexity Lecture 27 at CMU

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Graduate Complexity Theory

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  1. 1 Course Introduction and Overview: Graduate Complexity Lecture 1 at CMU
  2. 2 Hierarchy Theorems (Time, Space, and Nondeterministic): Graduate Complexity Lecture 2 at CMU
  3. 3 Hopcroft--Paul--Valiant Theorem: Graduate Complexity Lecture 3 at CMU
  4. 4 Circuits: Graduate Complexity Lecture 4 at CMU
  5. 5 Probabilistic Complexity Classes: Graduate Complexity Lecture 5 at CMU
  6. 6 Quasilinear Cook--Levin Theorem: Graduate Complexity Lecture 6 at CMU
  7. 7 The Polynomial Time Hierarchy: Graduate Complexity Lecture 7 at CMU
  8. 8 Oracles, and the Polynomial Time Hierarchy vs. circuits: Graduate Complexity Lecture 8 at CMU
  9. 9 Improving Kannan's Theorem: Graduate Complexity Lecture 8 bonus material at CMU
  10. 10 Time/Space Tradeoffs for SAT: Graduate Complexity Lecture 9 at CMU
  11. 11 Introduction to Arthur-Merlin classes, MA and AM: Graduate Complexity Lecture 10 at CMU
  12. 12 More on constant-round interactive proof systems: Graduate Complexity Lecture 12 at CMU
  13. 13 Approximate counting: Graduate Complexity Lecture 12 at CMU
  14. 14 Valiant--Vazirani Theorem, and Exact Counting (#P): Graduate Complexity Lecture 13 at CMU
  15. 15 Toda's 1st Theorem and the Permanent: Graduate Complexity Lecture 14 at CMU
  16. 16 Permanent is #P-complete: Graduate Complexity Lecture 20 (out of order) at CMU
  17. 17 Algebraic Circuit Complexity: Graduate Complexity Lecture 15 at CMU
  18. 18 Algebraic "NP vs. P" vs. "Boolean NP vs. P": Graduate Complexity Lecture 15 postscript at CMU
  19. 19 Instance Checking and the Permanent: Graduate Complexity Lecture 16 at CMU
  20. 20 IP = PSPACE: Graduate Complexity Lecture 17 at CMU
  21. 21 Random Restrictions and AC0 Circuit Lower Bounds: Graduate Complexity Lecture 18 at CMU
  22. 22 The Switching Lemma: PRST version: Graduate Complexity Lecture 19 at CMU
  23. 23 Monotone circuit lower bounds: Graduate Complexity Lecture 21 at CMU
  24. 24 Razborov--Smolensky lower bounds for AC0[p]: Graduate Complexity Lecture 22 at CMU
  25. 25 Toda's 2nd Theorem and lower bounds for uniform ACC: Graduate Complexity Lecture 23 at CMU
  26. 26 Hardness vs. Randomness I: Graduate Complexity Lecture 24 at CMU
  27. 27 Hardness vs. Randomness II: Graduate Complexity Lecture 25 at CMU
  28. 28 Hardness amplification: Graduate Complexity Lecture 26 at CMU
  29. 29 Ironic complexity: Graduate Complexity Lecture 27 at CMU

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