New Research Proposes Method for Learning Model Mixtures with Minimal Stakeholder Violations
An arXiv paper describes an approach for AI developers with several candidate system versions to deploy a mixture of them, routing each request to a randomly chosen version while minimizing stakeholder violations learned from membership queries.
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv cs.LG
Learning Lotteries with Minimal Stakeholder Violations from Membership Queries