~/talk

Revenue Maximization in Interdependent Value Settings

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Shows that a simple modification—reject each bidder with constant probability (here 1/2) then run Vickrey with reserves computed from survivors’ reported signals—gives a constant-factor approximation to optimal exposed‑IC revenue in interdependent settings with single‑crossing/additive values (proof uses the look‑ahead reserve argument and a two‑agent equal‑revenue counterexample to motivate rejection). Claims ~4.5× bound, extends to matroid constraints, and requires no distributional assumptions.

AI-written summary · about

  1. 0:00Intro
  2. 1:53Model
  3. 7:15Critical Signal
  4. 10:40Revenue Maximization
  5. 15:13Lookahead Auction
  6. 18:37Interdependent Values
  7. 26:32Comparison
  8. 27:42Metroids
  9. 29:18BCG
  10. 29:54Summary
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