ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.16830
  4. Cited By
Leaving the Nest: Going Beyond Local Loss Functions for
  Predict-Then-Optimize

Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize

26 May 2023
Sanket Shah
Andrew Perrault
Bryan Wilder
Milind Tambe
ArXivPDFHTML

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
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
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
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
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