Graph upand tothe rightReinforcementlearning“Is thatboundtight?”AggressivequestionThere is a slidewhere youunderstandabsolutelynothingMVALAV/ZoomissuesQuadrantdiagramInverseReinforcementlearningPlot comparingperformance oftheir algorithm toanotheralgorithmYahoodatasetOptimizationproblem 1SpotifyNetflixInversepropensityscoring/weightingDirectmethodGraphdown andto therightMangaindexRegretboundSomeone isat least 5-10minutes late“The answerto thatquestion ison the nextslide”A committeemember islate to the AexamRewardmodel“Dataefficiency”Optimizationproblem 2IntimidatingequationBandits withcostlyrewardobservationsGraph upand tothe rightReinforcementlearning“Is thatboundtight?”AggressivequestionThere is a slidewhere youunderstandabsolutelynothingMVALAV/ZoomissuesQuadrantdiagramInverseReinforcementlearningPlot comparingperformance oftheir algorithm toanotheralgorithmYahoodatasetOptimizationproblem 1SpotifyNetflixInversepropensityscoring/weightingDirectmethodGraphdown andto therightMangaindexRegretboundSomeone isat least 5-10minutes late“The answerto thatquestion ison the nextslide”A committeemember islate to the AexamRewardmodel“Dataefficiency”Optimizationproblem 2IntimidatingequationBandits withcostlyrewardobservations

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