arXiv (All)
open access
Sufficient Decision Proxies for Decision-Focused Learning
When solving optimization problems under uncertainty with contextual data, utilizing machine learning to predict the uncertain parameters' values is a popular and effective approach. Decision-focused learning (DFL) aims at learning a predictive model such that decision quality, instead of prediction
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Spherical fuzzy hypergraph in decision making.#165655
- Social influence and information cascades in experience-based decisions#626830
- Social influence and information cascades in experience-based decisions#626434
- Does perceived chronic stress really impair decision-making capacity? Evidence from decisions made under varying computational demands#263571
- Weak-to-Strong Learning in Decision Making#670693
Record · ID 1014508
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive