MVAL“Is thatboundtight?”Optimizationproblem 1Plot comparingperformance oftheir algorithm toanotheralgorithmAV/ZoomissuesA committeemember islate to the AexamQuadrantdiagram“The answerto thatquestion ison the nextslide”AggressivequestionBandits withcostlyrewardobservationsOptimizationproblem 2Graph upand tothe rightIntimidatingequationReinforcementlearningYahoodatasetDirectmethodRegretboundSomeone isat least 5-10minutes lateInversepropensityscoring/weightingInverseReinforcementlearningSpotifyGraphdown andto therightNetflixRewardmodel“Dataefficiency”There is a slidewhere youunderstandabsolutelynothingMangaindexMVAL“Is thatboundtight?”Optimizationproblem 1Plot comparingperformance oftheir algorithm toanotheralgorithmAV/ZoomissuesA committeemember islate to the AexamQuadrantdiagram“The answerto thatquestion ison the nextslide”AggressivequestionBandits withcostlyrewardobservationsOptimizationproblem 2Graph upand tothe rightIntimidatingequationReinforcementlearningYahoodatasetDirectmethodRegretboundSomeone isat least 5-10minutes lateInversepropensityscoring/weightingInverseReinforcementlearningSpotifyGraphdown andto therightNetflixRewardmodel“Dataefficiency”There is a slidewhere youunderstandabsolutelynothingMangaindex

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