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Learning to bid in revenue-maximizing auctions

ICML 2019 · Optimization › Optimizers · approach: Stochastic gradient MCMC · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace truthful bidding with learned strategic biddingLazy second price auction · Exponential(λ=1), K=2–4bidder utility uplift vs truthful bidding: +50%; +29%; +14%Helped
Replace truthful bidding with learned strategic biddingEager second price auction · Exponential(λ=1), K=2–4bidder utility uplift vs truthful bidding: +73%; +37%; +19%Helped
Replace truthful bidding with learned strategic biddingMyerson auction · Exponential(λ=1), K=2–4bidder utility uplift vs truthful bidding: +113%; +87%; +67%Helped
Replace truthful bidding with learned strategic biddingBoosted second price · Exponential(λ=1), K=2–4bidder utility uplift vs truthful bidding: +60%; +71%; +52%Helped
Replace truthful bidding with learned strategic biddingLazy second price auction · Uniform, K=2–4bidder utility uplift vs truthful bidding: +72%; +36%; +20%Helped
Replace truthful bidding with learned strategic biddingEager second price auction · Uniform, K=2–4bidder utility uplift vs revenue-maximizing truthful bidding: +51%; +46%; +25%Helped
Replace truthful bidding with learned strategic biddingMyerson auction · Uniform, K=2–4bidder utility uplift vs revenue-maximizing truthful bidding: +195%; +130%; +97.5%Helped
Replace truthful bidding with learned strategic biddingBoosted second price · Uniform, K=2–4bidder utility uplift vs revenue-maximizing truthful bidding: +200%; +40%; +37.5%Helped
Use virtual-value thresholding below the current reserve valueLazy second price auction · Continuation strategies under the theorem's assumptionsbidder utilityHelped
Relax the reserve-value indicator to an indicator of nonnegative virtual valueLazy second price bidder-utility optimization · Theoretical optimizationbidder utility at the optimumNo clear effect

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