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Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
26 May 2023
Sanket Shah
Andrew Perrault
Bryan Wilder
Milind Tambe
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Papers citing
"Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize"
4 / 4 papers shown
Title
Learning Joint Models of Prediction and Optimization
James Kotary
Vincenzo Di Vito
Jacob Cristopher
Pascal Van Hentenryck
Ferdinando Fioretto
41
2
0
07 Sep 2024
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
Bo Tang
Elias Boutros Khalil
32
1
0
12 Dec 2023
TaskMet: Task-Driven Metric Learning for Model Learning
Dishank Bansal
Ricky T. Q. Chen
Mustafa Mukadam
Brandon Amos
FedML
28
10
0
08 Dec 2023
GenCO: Generating Diverse Designs with Combinatorial Constraints
Aaron Ferber
Arman Zharmagambetov
Taoan Huang
B. Dilkina
Yuandong Tian
3DV
34
0
0
03 Oct 2023
1