Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Fuente:
arXiv
Saved in:
| Main Authors: | Mandi, Jayanta, Kotary, James, Berden, Senne, Mulamba, Maxime, Bucarey, Victor, Guns, Tias, Fioretto, Ferdinando |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
by: Mandi, Jayanta, et al.
Published: (2025)
by: Mandi, Jayanta, et al.
Published: (2025)
Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
by: Mandi, Jayanta, et al.
Published: (2025)
by: Mandi, Jayanta, et al.
Published: (2025)
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
by: Silvestri, Mattia, et al.
Published: (2023)
by: Silvestri, Mattia, et al.
Published: (2023)
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023)
by: Kotary, James, et al.
Published: (2023)
Solver-Free Decision-Focused Learning for Linear Optimization Problems
by: Berden, Senne, et al.
Published: (2025)
by: Berden, Senne, et al.
Published: (2025)
Learning to Solve Constrained Bilevel Control Co-Design Problems
by: Kotary, James, et al.
Published: (2025)
by: Kotary, James, et al.
Published: (2025)
Scalable Decision-Focused Learning through Cost-Sensitive Regression
by: Schutte, Noah, et al.
Published: (2026)
by: Schutte, Noah, et al.
Published: (2026)
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
by: Defresne, Marianne, et al.
Published: (2025)
by: Defresne, Marianne, et al.
Published: (2025)
Decision-Focused Learning to Predict Action Costs for Planning
by: Mandi, Jayanta, et al.
Published: (2024)
by: Mandi, Jayanta, et al.
Published: (2024)
Generalizing Constraint Models in Constraint Acquisition
by: Tsouros, Dimos, et al.
Published: (2024)
by: Tsouros, Dimos, et al.
Published: (2024)
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)
by: Guven, Yusuf, et al.
Published: (2025)
Efficient Gradient-Based Optimization for Joint Layout Design and Control of Wind Turbines
by: Kotary, James, et al.
Published: (2025)
by: Kotary, James, et al.
Published: (2025)
Stability-Constrained AC Optimal Power Flow--A Gaussian Process-Based Approach
by: Di Vito, Vincenzo, et al.
Published: (2025)
by: Di Vito, Vincenzo, et al.
Published: (2025)
Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming
by: Dvorkin, Vladimir, et al.
Published: (2022)
by: Dvorkin, Vladimir, et al.
Published: (2022)
Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
by: Bucarey, Víctor, et al.
Published: (2023)
by: Bucarey, Víctor, et al.
Published: (2023)
On λ-Cent-Dians and Generalized-Center for Network Design: Formulations and Algorithms
by: Bucarey, Víctor, et al.
Published: (2025)
by: Bucarey, Víctor, et al.
Published: (2025)
On λ-Cent-Dians and Generalized-Center for Network Design: Definitions and Properties
by: Bucarey, Víctor, et al.
Published: (2024)
by: Bucarey, Víctor, et al.
Published: (2024)
Learning Decision-Focused Uncertainty Sets in Robust Optimization
by: Wang, Irina, et al.
Published: (2023)
by: Wang, Irina, et al.
Published: (2023)
Sufficient Decision Proxies for Decision-Focused Learning
by: Schutte, Noah, et al.
Published: (2025)
by: Schutte, Noah, et al.
Published: (2025)
Robust Losses for Decision-Focused Learning
by: Schutte, Noah, et al.
Published: (2023)
by: Schutte, Noah, et al.
Published: (2023)
Decision-Focused Learning with Directional Gradients
by: Huang, Michael, et al.
Published: (2024)
by: Huang, Michael, et al.
Published: (2024)
On the Robustness of Decision-Focused Learning
by: Farhat, Yehya
Published: (2023)
by: Farhat, Yehya
Published: (2023)
Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization
by: Dixit, Shivi, et al.
Published: (2024)
by: Dixit, Shivi, et al.
Published: (2024)
Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
by: Ziliaskopoulos, Konstantinos, et al.
Published: (2026)
by: Ziliaskopoulos, Konstantinos, et al.
Published: (2026)
OPO: Making Decision-Focused Data Acquisition Decisions
by: Peršak, Egon, et al.
Published: (2025)
by: Peršak, Egon, et al.
Published: (2025)
Space Logistics Modeling and Optimization: Review of State of the Art
by: Ho, Koki
Published: (2023)
by: Ho, Koki
Published: (2023)
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)
by: Dinh, My H., et al.
Published: (2024)
The State-of-the-Art Survey on Optimization Methods for Cyber-physical Networks
by: Aslani, Babak, et al.
Published: (2022)
by: Aslani, Babak, et al.
Published: (2022)
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
by: Peitz, Sebastian, et al.
Published: (2024)
by: Peitz, Sebastian, et al.
Published: (2024)
Optimization Modeling for Pandemic Vaccine Supply Chain Management: A Review and Future Research Opportunities
by: Dey, Shibshankar, et al.
Published: (2023)
by: Dey, Shibshankar, et al.
Published: (2023)
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
by: Islam, MD Shafikul, et al.
Published: (2023)
by: Islam, MD Shafikul, et al.
Published: (2023)
Energy Storage Arbitrage Under Price Uncertainty: Market Risks and Opportunities
by: Wu, Yiqian, et al.
Published: (2025)
by: Wu, Yiqian, et al.
Published: (2025)
Branch-and-price with novel cuts, and a new Stackelberg Security Game
by: Bustamante-Faúndez, Pamela, et al.
Published: (2024)
by: Bustamante-Faúndez, Pamela, et al.
Published: (2024)
State-dependent preconditioning for the inner-loop in Variational Data Assimilation using Machine Learning
by: Trappler, Victor, et al.
Published: (2025)
by: Trappler, Victor, et al.
Published: (2025)
Robust Markov Decision Processes on Continuous State Spaces
by: Li, Mengmeng, et al.
Published: (2026)
by: Li, Mengmeng, et al.
Published: (2026)
Decision-Focused Bias Correction for Fluid Approximation
by: Er, Can, et al.
Published: (2025)
by: Er, Can, et al.
Published: (2025)
Analysis of a combined Filtered/phase-field approach to topology optimization in elasticit
by: Auricchio, Ferdinando, et al.
Published: (2024)
by: Auricchio, Ferdinando, et al.
Published: (2024)
Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
by: Buyuktahtakin, I. Esra
Published: (2026)
by: Buyuktahtakin, I. Esra
Published: (2026)
Similar Items
-
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
by: Mandi, Jayanta, et al.
Published: (2025) -
Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
by: Mandi, Jayanta, et al.
Published: (2025) -
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024) -
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
by: Silvestri, Mattia, et al.
Published: (2023) -
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023)