2 papers
cs.LG2026
Scalable Decision-Focused Learning through Cost-Sensitive Regression
Noah Schutte, Senne Berden, Tias Guns +2
Many real-world combinatorial problems involve uncertain parameters, which can be predicted given contextual features and historical data. These `predict-then-optimize' or `context…
cs.LG2026
Sufficient Decision Proxies for Decision-Focused Learning
Noah Schutte, Grigorii Veviurko, Krzysztof Postek +1
When solving optimization problems under uncertainty with contextual data, utilizing machine learning to predict the uncertain parameters' values is a popular and effective approac…