Research map / Multi-agent systems and games / Games and equilibria
A Bayesian Clearing Mechanism for Combinatorial Auctions
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use Bayesian valuation priors and alternate valuation updates with price updates instead of subgradient price updates | Bayesian clearing mechanism · CATS paths, regions, arbitrary, and scheduling | clearing rate | Mixed |
| use the Bayesian clearing mechanism instead of the instance-optimized subgradient auction | CATS arbitrary · CATS arbitrary | clearing rate | Helped |
| use the Bayesian clearing mechanism instead of the SAOr subgradient auction | CATS paths, regions, arbitrary, and scheduling · CATS instances cleared by all auction types | median rounds to clearing | Helped |
| use the Bayesian clearing mechanism instead of the instance-optimized subgradient auction | CATS paths, regions, arbitrary, and scheduling · CATS instances cleared by all auction types | median rounds to clearing | Helped |
| increase the global agent's prior variance | Bayesian clearing mechanism · LLG, unbiased global-agent prior | rounds to clearing | Hurt |
| use an intermediate prior variance rather than a very low or very high variance for the biased global-agent prior | Bayesian clearing mechanism · LLG, biased global-agent prior | rounds to clearing | Helped |
Closest papers by meaning
- Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification (AAAI 2025 · similarity 0.90)
- Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games (AAAI 2025 · similarity 0.88)
- Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition (AAAI 2025 · similarity 0.87)
- Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response (ICML 2025 · similarity 0.87)
- Machine Learning-Powered Combinatorial Clock Auction (AAAI 2024 · similarity 0.86)
- Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All (ICML 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
