Krzysztof Postek

2 accepted papers

2026

Sufficient Decision Proxies for Decision-Focused Learning

Noah Schutte, Grigorii Veviurko, Krzysztof Postek, Neil Yorke-Smith

IJCAI 2026

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

Cited by 0 Scholar ↗

2024

Robust Losses for Decision-Focused Learning

Noah Schutte, Krzysztof Postek, Neil Yorke-Smith

IJCAI 2024poster

Optimization models used to make discrete decisions often contain uncertain parameters that are context-dependent and estimated through prediction. To account for the quality of the decision made based on the prediction, decision-focused learning (end-to-end predict-then-optimize) aims at training t…

Cited by 5 Source ↗PDF ↗Scholar ↗