Skip to main content Skip to secondary navigation

Market Design in the Age of AI Poster Map

Main content start
  1. Optimal Aggregation Mechanisms for AI Benchmarking, Andreas Haupt
  2. Value of Learning in Online Decision-Making: When does being Bayesian help?, Senem Işık
  3. Congestion in decentralized matching, Justin Hadad
  4. Can SGD Select Good Fishermen? Local Convergence Under Self-Selection Biases and Beyond, Anay Mehrotra
  5. Removing the Hidden Cost of Unstandardized Evaluation: How Standardization Drives Efficiency for Markets Deploying AI Agents, Anni Zimina
  6. Matching Algorithms via GNNs for Online Value-to-go Approximation, Anders Wikum
  7. When Can Auction Verification Be Safely Skipped?, Utsav Gupta
  8. Underfitting Under Drift: Diagnosing Institutional Learning in Adaptive Platform Markets, Manuela Palacio-Villarreal
  9. Targeted Advertising Platforms: Data Sharing and Customer Poaching, Klajdi Hoxha
  10. Unified Framework for Agentic E-Commerce: Multi-Protocol Product Discovery, Juli Huang
  11. Entropy Guided Diversification and Preference Elicitation in Agentic Recommendation Systems, Hannah Clay
  12. Who Should Get the Extra Review in the Age of AI?, Thanawat Sornwanee
  13. Matching the Mean: Informational Shrinkage in Crowdsourced Data Labelling, Thanawat Sornwanee
  14. Beyond Search: LLM Adoption and Web Traffic Concentration, Samira Gholami
  15. Moneyless Resource Allocation with Heterogeneous Durations, Rigel Galgana