Optimizationproblem 1Yahoodataset“Dataefficiency”InverseReinforcementlearningMangaindexAggressivequestionAV/ZoomissuesRegretboundSpotify“Is thatboundtight?”A committeemember islate to the AexamInversepropensityscoring/weightingMVALGraph upand tothe rightOptimizationproblem 2Graphdown andto therightIntimidatingequationBandits withcostlyrewardobservationsQuadrantdiagramSomeone isat least 5-10minutes lateThere is a slidewhere youunderstandabsolutelynothingRewardmodelNetflix“The answerto thatquestion ison the nextslide”DirectmethodPlot comparingperformance oftheir algorithm toanotheralgorithmReinforcementlearningOptimizationproblem 1Yahoodataset“Dataefficiency”InverseReinforcementlearningMangaindexAggressivequestionAV/ZoomissuesRegretboundSpotify“Is thatboundtight?”A committeemember islate to the AexamInversepropensityscoring/weightingMVALGraph upand tothe rightOptimizationproblem 2Graphdown andto therightIntimidatingequationBandits withcostlyrewardobservationsQuadrantdiagramSomeone isat least 5-10minutes lateThere is a slidewhere youunderstandabsolutelynothingRewardmodelNetflix“The answerto thatquestion ison the nextslide”DirectmethodPlot comparingperformance oftheir algorithm toanotheralgorithmReinforcementlearning

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