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07/11/2023
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
Many real-world optimization problems contain unknown parameters that mu...
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01/25/2022
Probability estimation and structured output prediction for learning preferences in last mile delivery
We study the problem of learning the preferences of drivers and planners...
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12/07/2021
Predict and Optimize: Through the Lens of Learning to Rank
In the last years predict-and-optimize approaches (Elmachtoub and Grigas...
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08/10/2021
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
The traditional Capacitated Vehicle Routing Problem (CVRP) minimizes the...
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01/11/2021
Learn-n-Route: Learning implicit preferences for vehicle routing
We investigate a learning decision support system for vehicle routing, w...
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11/10/2020
Discrete solution pools and noise-contrastive estimation for predict-and-optimize
Numerous real-life decision-making processes involve solving a combinato...
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10/26/2020
Interior Point Solving for LP-based prediction+optimisation
Solving optimization problems is the key to decision making in many real...
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03/24/2020
Hybrid Classification and Reasoning for Image-based Constraint Solving
There is an increased interest in solving complex constrained problems w...
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11/22/2019
