There is a slidewhere youunderstandabsolutelynothingIntimidatingequationInversepropensityscoring/weightingAV/ZoomissuesA committeemember islate to the AexamYahoodatasetMangaindexBandits withcostlyrewardobservationsOptimizationproblem 2Optimizationproblem 1“Dataefficiency”ReinforcementlearningMVAL“Is thatboundtight?”NetflixDirectmethodGraphdown andto therightRegretboundSomeone isat least 5-10minutes lateSpotifyGraph upand tothe right“The answerto thatquestion ison the nextslide”InverseReinforcementlearningAggressivequestionQuadrantdiagramPlot comparingperformance oftheir algorithm toanotheralgorithmRewardmodelThere is a slidewhere youunderstandabsolutelynothingIntimidatingequationInversepropensityscoring/weightingAV/ZoomissuesA committeemember islate to the AexamYahoodatasetMangaindexBandits withcostlyrewardobservationsOptimizationproblem 2Optimizationproblem 1“Dataefficiency”ReinforcementlearningMVAL“Is thatboundtight?”NetflixDirectmethodGraphdown andto therightRegretboundSomeone isat least 5-10minutes lateSpotifyGraph upand tothe right“The answerto thatquestion ison the nextslide”InverseReinforcementlearningAggressivequestionQuadrantdiagramPlot comparingperformance oftheir algorithm toanotheralgorithmRewardmodel

Aaron's A exam - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. There is a slide where you understand absolutely nothing
  2. Intimidating equation
  3. Inverse propensity scoring/weighting
  4. AV/Zoom issues
  5. A committee member is late to the A exam
  6. Yahoo dataset
  7. Manga index
  8. Bandits with costly reward observations
  9. Optimization problem 2
  10. Optimization problem 1
  11. “Data efficiency”
  12. Reinforcement learning
  13. MVAL
  14. “Is that bound tight?”
  15. Netflix
  16. Direct method
  17. Graph down and to the right
  18. Regret bound
  19. Someone is at least 5-10 minutes late
  20. Spotify
  21. Graph up and to the right
  22. “The answer to that question is on the next slide”
  23. Inverse Reinforcement learning
  24. Aggressive question
  25. Quadrant diagram
  26. Plot comparing performance of their algorithm to another algorithm
  27. Reward model