Graph upand tothe rightPlot comparingperformance oftheir algorithm toanotheralgorithmBandits withcostlyrewardobservationsAV/ZoomissuesOptimizationproblem 2TargetpolicyYahoodatasetThere is a slidewhere youunderstandabsolutelynothingInversepropensityscoring/weightingBalancedestimatorIntimidatingequationSomeoneis at least5 minuteslateGraphdown andto therightQuadrantdiagramKillianmakesa jokeReinforcementlearningSongsA committeemember islate to the AexamOptimizationproblem 1InverseReinforcementlearningRewardmodel“The answerto thatquestion ison the nextslide”AggressivequestionMVAL“Dataefficiency”RegretboundDirectmethodGraph upand tothe rightPlot comparingperformance oftheir algorithm toanotheralgorithmBandits withcostlyrewardobservationsAV/ZoomissuesOptimizationproblem 2TargetpolicyYahoodatasetThere is a slidewhere youunderstandabsolutelynothingInversepropensityscoring/weightingBalancedestimatorIntimidatingequationSomeoneis at least5 minuteslateGraphdown andto therightQuadrantdiagramKillianmakesa jokeReinforcementlearningSongsA committeemember islate to the AexamOptimizationproblem 1InverseReinforcementlearningRewardmodel“The answerto thatquestion ison the nextslide”AggressivequestionMVAL“Dataefficiency”RegretboundDirectmethod

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