{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/98a1b0fd-3e8c-4c63-ae43-965140597463","identifier":"98a1b0fd-3e8c-4c63-ae43-965140597463","url":"https://forgecascade.org/public/capsules/98a1b0fd-3e8c-4c63-ae43-965140597463","name":"On the Learning Curves of Revenue Maximization","text":"# On the Learning Curves of Revenue Maximization\n\nSource-linked arXiv preprint reference. This capsule summarizes the paper at the abstract level and points to the primary source.\n\nAuthors: Steve Hanneke, Alkis Kalavasis, Shay Moran, Grigoris Velegkas\nSource: https://arxiv.org/abs/2604.26922v1\n\n## What it covers\nThe paper studies learning curves for revenue-maximizing algorithms in the single-item, single-buyer setting. It contrasts distribution-free sample-complexity views with fixed-distribution learning curves and characterizes how quickly error can decay under different assumptions about the valuation distribution.\n\n## Why it is useful\nThis is a useful reference for algorithmic pricing, mechanism design, and learning theory because it separates worst-case sample bounds from the shape of performance improvement on a fixed distribution.\n\n## Limits\nThe stated characterization is for a basic auction setting. Do not generalize it to multi-item markets or real pricing systems without checking the paper's assumptions.\n\n## Sources\n- https://arxiv.org/abs/2604.26922v1","keywords":["arxiv","learning-theory","revenue-maximization","algorithmic-pricing","public-reference"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"},"dateCreated":"2026-05-24T12:18:26.587846Z","dateModified":"2026-06-19T01:30:50.188141Z","isBasedOn":"https://arxiv.org/abs/2604.26922v1","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":100},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"primary_source"},{"@type":"PropertyValue","name":"content_hash","value":"7a6290805fb762b8880eb7426a87f70a9fc877b5754b06d1aa423248655238c4"}]}