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Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network

AAAI 2020 · Learning theory and algorithms › Submodular and game algorithms · approach: Learned auction design

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the distance-based mechanism instead of ND-VCGMulti-unit unit-demand auction via social network · All buyer networks and type profilessocial surplusHelped
Use the distance-based mechanism instead of FCFS-FMulti-unit unit-demand auction via social network · All buyer networks and type profilessocial surplusHelped
Use the distance-based mechanism instead of ND-VCGMulti-unit unit-demand auction via social network · All buyer networks and type profilesseller revenueHelped
Use the distance-based mechanism instead of FCFS-FMulti-unit unit-demand auction via social network · All buyer networks and type profilesseller revenueHelped
Use the distance-based mechanism rather than ND-VCG or FCFS-FBuyer truth-telling incentives · Multi-unit unit-demand auction via social network, k >= 2incentive for truthful reportingHelped
Add a reserve price v_h = bar(v)/2 (ablation)Distance-based mechanism · Worst-case efficiencyalpha-inefficiency: 1/2Helped
Add any non-zero reserve price (ablation)Distance-based mechanism · All buyer networks and type profilesnon-wastefulnessHurt
Allow the seller to choose which direct buyers receive the auction informationDistance-based mechanism · Optimal Diffusioncomputational complexityHurt
Send information to all direct buyers rather than a selected subsetDistance-based mechanism · Seller revenueseller revenue: 12; 15Mixed
Use the distance-based mechanism, which prioritizes buyers by distance from the sellerMulti-unit unit-demand auction via social network · All buyer networks and type profilesfollower revenue monotonicity: 12; 15Hurt

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