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Found 3 papers, 2 papers with code
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Decision-focused learning (DFL) is an emerging paradigm in machine learning which trains a model to optimize decisions, integrating prediction and optimization in an end-to-end system.
Probability estimation and structured output prediction for learning preferences in last mile delivery
Results show that the zone transition probability estimation performs well, and that the structured output prediction learning can improve the results further.
Contrastive Losses and Solution Caching for Predict-and-Optimize
Many decision-making processes involve solving a combinatorial optimization problem with uncertain input that can be estimated from historic data.
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