“Dataefficiency”Someoneis at least5 minuteslatePlot comparingperformance oftheir algorithm toanotheralgorithmGraph upand tothe rightIntimidatingequationAggressivequestionRewardmodelGraphdown andto therightRegretboundA committeemember islate to the AexamAV/ZoomissuesInversepropensityscoring/weightingInverseReinforcementlearningThere is a slidewhere youunderstandabsolutelynothingMVALBandits withcostlyrewardobservationsQuadrantdiagramDirectmethodTargetpolicySongsKillianmakesa jokeYahoodatasetOptimizationproblem 2“The answerto thatquestion ison the nextslide”Optimizationproblem 1ReinforcementlearningBalancedestimator“Dataefficiency”Someoneis at least5 minuteslatePlot comparingperformance oftheir algorithm toanotheralgorithmGraph upand tothe rightIntimidatingequationAggressivequestionRewardmodelGraphdown andto therightRegretboundA committeemember islate to the AexamAV/ZoomissuesInversepropensityscoring/weightingInverseReinforcementlearningThere is a slidewhere youunderstandabsolutelynothingMVALBandits withcostlyrewardobservationsQuadrantdiagramDirectmethodTargetpolicySongsKillianmakesa jokeYahoodatasetOptimizationproblem 2“The answerto thatquestion ison the nextslide”Optimizationproblem 1ReinforcementlearningBalancedestimator

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