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Generalized Matroid Secretary Problem Sourav Chakraborty (Indian Statistical Institute) Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem The Art of Selling a Car Want to sell my car. Sourav Chakraborty


  1. Generalized Matroid Secretary Problem Sourav Chakraborty (Indian Statistical Institute) Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  2. The Art of Selling a Car Want to sell my car. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  3. The Art of Selling a Car Want to sell my car. 2 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  4. The Art of Selling a Car Want to sell my car. 2 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  5. The Art of Selling a Car Want to sell my car. 2 L 1 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  6. The Art of Selling a Car Want to sell my car. 2 L 1 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  7. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  8. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  9. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L 1.25 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  10. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L 1.25 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  11. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L 1.25 L 1.75 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  12. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L 1.25 L 1.75 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  13. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L 1.25 L 1.75 L 2.25 L Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  14. The Art of Selling a Car Want to sell my car. 2 L 1 L 1.5 L 1.25 L 1.75 L 2.25 L What should be my strategy? Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  15. Different Assumptions Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  16. Different Assumptions Are the bids chosen by an adversary or drawn from some distribution? Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  17. Different Assumptions Are the bids chosen by an adversary or drawn from some distribution? How much knowledge in advance do the seller have about the bids? (For example: do the seller know the distribution from which the bids are drawn.) Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  18. Different Assumptions Are the bids chosen by an adversary or drawn from some distribution? How much knowledge in advance do the seller have about the bids? (For example: do the seller know the distribution from which the bids are drawn.) Do the buyers come in a particular order or in some random order? Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  19. Different kind of assumptions (Pessimistic Assumption) All the bids and the ordering of the buyers are chosen by an adversary. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  20. Different kind of assumptions (Pessimistic Assumption) All the bids and the ordering of the buyers are chosen by an adversary. For any strategy of the seller there is an adversarial strategy such that the expected return for the seller is 1 /N of the best bid. ( N is the number of bidders.) Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  21. Different kind of assumptions (Pessimistic Assumption) All the bids and the ordering of the buyers are chosen by an adversary. For any strategy of the seller there is an adversarial strategy such that the expected return for the seller is 1 /N of the best bid. ( N is the number of bidders.) (Optimistic Approach) All bids are drawn from a distribution (that is known to the seller) and the bidders come in a random order. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  22. Different kind of assumptions (Pessimistic Assumption) All the bids and the ordering of the buyers are chosen by an adversary. For any strategy of the seller there is an adversarial strategy such that the expected return for the seller is 1 /N of the best bid. ( N is the number of bidders.) (Optimistic Approach) All bids are drawn from a distribution (that is known to the seller) and the bidders come in a random order. There is a simple strategy the guarantees that the expected return is at least half of the best bid. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  23. Different kind of assumptions (Pessimistic Assumption) All the bids and the ordering of the buyers are chosen by an adversary. For any strategy of the seller there is an adversarial strategy such that the expected return for the seller is 1 /N of the best bid. ( N is the number of bidders.) (Optimistic Approach) All bids are drawn from a distribution (that is known to the seller) and the bidders come in a random order. There is a simple strategy the guarantees that the expected return is at least half of the best bid. (Middle Path) The bids are chosen by an adversary but the bidders come in a random order. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  24. Different kind of assumptions (Pessimistic Assumption) All the bids and the ordering of the buyers are chosen by an adversary. For any strategy of the seller there is an adversarial strategy such that the expected return for the seller is 1 /N of the best bid. ( N is the number of bidders.) (Optimistic Approach) All bids are drawn from a distribution (that is known to the seller) and the bidders come in a random order. There is a simple strategy the guarantees that the expected return is at least half of the best bid. (Middle Path) The bids are chosen by an adversary but the bidders come in a random order. Secretary Problem Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  25. The Secretary Problem Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  26. The Secretary Problem Bids: B 1 , B 2 , . . . , B N Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  27. The Secretary Problem Bids: B 1 , B 2 , . . . , B N Bids are adversarially chosen but come in a random order. Bids come is a online fashion. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  28. The Secretary Problem Bids: B 1 , B 2 , . . . , B N Bids are adversarially chosen but come in a random order. Bids come is a online fashion. Once bid B i is seen, the algorithm has to either REJECTS or SELECTS. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  29. The Secretary Problem Bids: B 1 , B 2 , . . . , B N Bids are adversarially chosen but come in a random order. Bids come is a online fashion. Once bid B i is seen, the algorithm has to either REJECTS or SELECTS. If the algorithm REJECTS it then the bid B i is lost forever and cannot be selected later. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  30. The Secretary Problem Bids: B 1 , B 2 , . . . , B N Bids are adversarially chosen but come in a random order. Bids come is a online fashion. Once bid B i is seen, the algorithm has to either REJECTS or SELECTS. If the algorithm REJECTS it then the bid B i is lost forever and cannot be selected later. If the algorithm SELECTS it then B i is the return the algorithm get. Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  31. The Secretary Problem Bids: B 1 , B 2 , . . . , B N Bids are adversarially chosen but come in a random order. Bids come is a online fashion. Once bid B i is seen, the algorithm has to either REJECTS or SELECTS. If the algorithm REJECTS it then the bid B i is lost forever and cannot be selected later. If the algorithm SELECTS it then B i is the return the algorithm get. GOAL: To maximize Expected Return . max i B i Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  32. Algorithm for Secretary Problem Simple Algorithm REJECT the bids B 1 , B 2 , . . . , B N/ 2 Let C = max { B 1 , . . . , B N/ 2 } . For any i > N/ 2 if B i is at least C then ACCEPT B i . With probability 1 / 4 the highest bid is the second half and the second highest bid is in the first half. So, Expected Return > 1 4 . max i B i [Lindley, Dynkin (1963)] showed that the competitive ratio is 1 /e . Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  33. Lets Sell Flight Tickets Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

  34. Lets Sell Flight Tickets Available seats Sourav Chakraborty (Indian Statistical Institute) Generalized Matroid Secretary Problem

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