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Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use linear reserve policy (e.g., Myersonian reserve or fixed quantile) instead of non-linear policy | dynamic reserve pricing (single-buyer, two-stage model) · theory: single-buyer environment | dynamic-IC metric vs normalized revenue | Hurt |
| Add a covariance term via Box-Cox weighting with negative lambda (lower lambda) in the non-linear policy (ablation) | non-linear Box-Cox reserve policy · synthetic log-normal distribution (no competing bids) | revenue-incentive tradeoff (DIC vs Reserve Revenue/Welfare) | Helped |
| Use non-linear Box-Cox policy with lower lambda (e.g., negative lambda) instead of exponential mechanism (lambda=1) (ablation) | non-linear Box-Cox reserve policy · real ad exchange data, single bidder (training and testing) | revenue-incentive tradeoff (DIC vs Reserve Revenue/Welfare) | Helped |
| Increase lambda to large absolute values or use positive lambda on shifted log-normal distribution (ablation) | non-linear Box-Cox reserve policy · synthetic shifted log-normal distribution | revenue-incentive tradeoff | Hurt |
| Include competing bids in the simulation (vs single bidder) | dynamic reserve pricing on ad auction data · real ad exchange data | DIC range | Helped |
Closest papers by meaning
- Reserve Price Optimization for First Price Auctions in Display Advertising (ICML 2021 · similarity 0.91)
- Robust Auction Design in the Auto-bidding World (NeurIPS 2021 · similarity 0.89)
- Revenue Maximization for Finitely Repeated Ad Auctions (AAAI 2017 · similarity 0.89)
- Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets (ICML 2023 · similarity 0.87)
- Dynamic Budget Throttling in Repeated Second-Price Auctions (AAAI 2024 · similarity 0.86)
- Maximizing the Success Probability of Policy Allocations in Online Systems (AAAI 2024 · similarity 0.86)
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