“The answerto thatquestion ison the nextslide”MVALPlot comparingperformance oftheir algorithm toanotheralgorithmNetflixInverseReinforcementlearningYahoodatasetGraphdown andto theright“Dataefficiency”SpotifyRewardmodelThere is a slidewhere youunderstandabsolutelynothingGraph upand tothe rightA committeemember islate to the AexamRegretboundOptimizationproblem 1QuadrantdiagramAV/ZoomissuesMangaindexOptimizationproblem 2DirectmethodIntimidatingequation“Is thatboundtight?”Inversepropensityscoring/weightingSomeone isat least 5-10minutes lateReinforcementlearningAggressivequestionBandits withcostlyrewardobservations“The answerto thatquestion ison the nextslide”MVALPlot comparingperformance oftheir algorithm toanotheralgorithmNetflixInverseReinforcementlearningYahoodatasetGraphdown andto theright“Dataefficiency”SpotifyRewardmodelThere is a slidewhere youunderstandabsolutelynothingGraph upand tothe rightA committeemember islate to the AexamRegretboundOptimizationproblem 1QuadrantdiagramAV/ZoomissuesMangaindexOptimizationproblem 2DirectmethodIntimidatingequation“Is thatboundtight?”Inversepropensityscoring/weightingSomeone isat least 5-10minutes lateReinforcementlearningAggressivequestionBandits 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.


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