Bayesian Inference by Program Verification - Joost-Pieter Katoen, RWTH Aachen University

Bayesian Inference by Program Verification - Joost-Pieter Katoen, RWTH Aachen University

Alan Turing Institute via YouTube Direct link

Intro

1 of 29

1 of 29

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Bayesian Inference by Program Verification - Joost-Pieter Katoen, RWTH Aachen University

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 nature Perspective
  3. 3 Probabilistic graphical models
  4. 4 Student's mood after an exam
  5. 5 Applications
  6. 6 Probabilistic GCL
  7. 7 Let's start simple
  8. 8 A loopy program For
  9. 9 Weakest pre-expectations
  10. 10 Examples
  11. 11 An operational perspective
  12. 12 Bayesian inference by program verification
  13. 13 Example: sampling within a circle
  14. 14 Weakest precondition of id-loops
  15. 15 Bayesian networks as programs
  16. 16 Soundness
  17. 17 Exact inference by wp-reasoning
  18. 18 Termination proofs: the classical case
  19. 19 Proving almost-sure termination
  20. 20 The symmetric random walk
  21. 21 Asymmetric-in-the-limit random walk
  22. 22 Positive almost-sure termination
  23. 23 Run-time invariant synthesis
  24. 24 Coupon collector's problem
  25. 25 Sampling time for example BN
  26. 26 The student's mood example
  27. 27 Experimental results
  28. 28 Printer troubleshooting in Windows 95
  29. 29 Predictive probabilistic programming

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.