Cover Image

Managing Solution Stability in Decision-Focused Learning with Cost Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Spitzer, Victor, Sanson, Francois
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Decision-Focused Learning through Cost-Sensitive Regression
by: Schutte, Noah, et al.
Published: (2026)

Decision-Focused Learning for Complex System Identification: HVAC Management System Application
by: Favaro, Pietro, et al.
Published: (2025)

Online Decision-Focused Learning
by: Capitaine, Aymeric, et al.
Published: (2025)

Sufficient Decision Proxies for Decision-Focused Learning
by: Schutte, Noah, et al.
Published: (2025)

Prediction Loss Guided Decision-Focused Learning
by: Jeon, Haeun, et al.
Published: (2025)

Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
by: Chen, Shuyi, et al.
Published: (2025)

Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)

Robust Losses for Decision-Focused Learning
by: Schutte, Noah, et al.
Published: (2023)

Decision-Focused Learning with Directional Gradients
by: Huang, Michael, et al.
Published: (2024)

On the Robustness of Decision-Focused Learning
by: Farhat, Yehya
Published: (2023)

Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
by: Zhou, Hao, et al.
Published: (2024)

3D-Learning: Diffusion-Augmented Distributionally Robust Decision-Focused Learning
by: Wen, Jiaqi, et al.
Published: (2026)

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
by: Mandi, Jayanta, et al.
Published: (2023)

Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback
by: Benslimane, Wyame, et al.
Published: (2026)

Decision-Focused Learning via Tangent-Space Projection of Prediction Error
by: Lee, Junhyeong, et al.
Published: (2026)

From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback
by: Wang, Xinyu, et al.
Published: (2025)

DF2: Distribution-Free Decision-Focused Learning
by: Kong, Lingkai, et al.
Published: (2023)

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
by: Baja, Hilmy, et al.
Published: (2025)

Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
by: Ziliaskopoulos, Konstantinos, et al.
Published: (2026)

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
by: Mandi, Jayanta, et al.
Published: (2025)

Locally Convex Global Loss Network for Decision-Focused Learning
by: Jeon, Haeun, et al.
Published: (2024)

Decision-Focused Model-based Reinforcement Learning for Reward Transfer
by: Sharma, Abhishek, et al.
Published: (2023)

Scalable Decision Focused Learning via Online Trainable Surrogates
by: Signorelli, Gaetano, et al.
Published: (2025)

Solver-Free Decision-Focused Learning for Linear Optimization Problems
by: Berden, Senne, et al.
Published: (2025)

Decision-Focused Evaluation of Worst-Case Distribution Shift
by: Ren, Kevin, et al.
Published: (2024)

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
by: Silvestri, Mattia, et al.
Published: (2023)

Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
by: Mandi, Jayanta, et al.
Published: (2025)

Variational Learning Finds Flatter Solutions at the Edge of Stability
by: Ghosh, Avrajit, et al.
Published: (2025)

Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
by: Yan, Teng, et al.
Published: (2024)

Learning Decisions Offline from Censored Observations with ε-insensitive Operational Costs
by: Chen, Minxia, et al.
Published: (2024)

Safeguarding Autonomy: a Focus on Machine Learning Decision Systems
by: Subías-Beltrán, Paula, et al.
Published: (2025)

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
by: Spitzer, Philipp, et al.
Published: (2025)

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization
by: Massiani, Pierre-François, et al.
Published: (2025)

Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
by: Shah, Sanket, et al.
Published: (2024)

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
by: Zhang, Shuli, et al.
Published: (2025)

Tractable Offline Learning of Regular Decision Processes
by: Deb, Ahana, et al.
Published: (2024)

Stability Regularized Cross-Validation
by: Cory-Wright, Ryan, et al.
Published: (2025)

Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent
by: Halder, Budhaditya, et al.
Published: (2026)

Fairness-Regularized Online Optimization with Switching Costs
by: Li, Pengfei, et al.
Published: (2025)