Simple Mechanisms for Subadditive Buyers via Duality
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Abstract (arXiv)
We provide simple and approximately revenue-optimal mechanisms in the multi-item multi-bidder settings. We unify and improve all previous results, as well as generalize the results to broader cases. In particular, we prove that the better of the following two simple, deterministic and Dominant Strategy Incentive Compatible mechanisms, a sequential posted price mechanism or an anonymous sequential posted price mechanism with entry fee, achieves a constant fraction of the optimal revenue among all randomized, Bayesian Incentive Compatible mechanisms, when buyers' valuations are XOS over independent items. If the buyers' valuations are subadditive over independent items, the approximation factor degrades to O(log m), where m is the number of items. We obtain our results by first extending the Cai-Devanur-Weinberg duality framework to derive an effective benchmark of the optimal revenue for subadditive bidders, and then analyzing this upper bound with new techniques.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Nov 2016.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
6 papers.
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- 2026Bridging the Gap Between Estimated and True Regret Towards Reliable Regret Estimation in Deep Learning based Mechanism Design20 Jan 2026
- 2024Deep Reinforcement Learning for Sequential Combinatorial Auctions10 Jul 2024
- 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression11 Oct 2023
- 2022Differentiable Economics for Randomized Affine Maximizer Auctions6 Feb 2022
- 2022A Context-Integrated Transformer-Based Neural Network for Auction Design29 Jan 2022
- 2021Recommender Systems meet Mechanism Design25 Oct 2021