Balancedestimator“Dataefficiency”“The answerto thatquestion ison the nextslide”There is a slidewhere youunderstandabsolutelynothingTargetpolicySongsYahoodatasetSomeoneis at least5 minuteslateAV/ZoomissuesAggressivequestionRewardmodelOptimizationproblem 1A committeemember islate to the AexamDirectmethodOptimizationproblem 2IntimidatingequationInversepropensityscoring/weightingGraph upand tothe rightMVALInverseReinforcementlearningReinforcementlearningKillianmakesa jokeGraphdown andto therightBandits withcostlyrewardobservationsRegretboundPlot comparingperformance oftheir algorithm toanotheralgorithmQuadrantdiagramBalancedestimator“Dataefficiency”“The answerto thatquestion ison the nextslide”There is a slidewhere youunderstandabsolutelynothingTargetpolicySongsYahoodatasetSomeoneis at least5 minuteslateAV/ZoomissuesAggressivequestionRewardmodelOptimizationproblem 1A committeemember islate to the AexamDirectmethodOptimizationproblem 2IntimidatingequationInversepropensityscoring/weightingGraph upand tothe rightMVALInverseReinforcementlearningReinforcementlearningKillianmakesa jokeGraphdown andto therightBandits withcostlyrewardobservationsRegretboundPlot comparingperformance oftheir algorithm toanotheralgorithmQuadrantdiagram

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