Imagen de Portada

Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mandi, Jayanta, Mahmutoğulları, Ali İrfan, Berden, Senne, Guns, Tias
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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

Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
por: Defresne, Marianne, et al.
Publicado: (2025)

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

Decision-Focused Learning to Predict Action Costs for Planning
por: Mandi, Jayanta, et al.
Publicado: (2024)

Generalizing Constraint Models in Constraint Acquisition
por: Tsouros, Dimos, et al.
Publicado: (2024)

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

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

A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
por: Rodriguez-Diaz, Paula, et al.
Publicado: (2025)

DCP-Bench-Open: Evaluating LLMs for Constraint Modelling of Discrete Combinatorial Problems
por: Michailidis, Kostis, et al.
Publicado: (2025)

Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
por: Deproost, Senne, et al.
Publicado: (2024)

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

Surrogate Interpretable Graph for Random Decision Forests
por: Dubey, Akshat, et al.
Publicado: (2025)

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

Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State Partitioning
por: Deproost, Senne, et al.
Publicado: (2025)

Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Explainable Models
por: Deproost, Senne, et al.
Publicado: (2026)

Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
por: Islam, MD Shafikul, et al.
Publicado: (2023)

TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics
por: Lingrui, Xu, et al.
Publicado: (2025)

Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization
por: Beichter, Maximilian, et al.
Publicado: (2025)

Exploiting Symmetries in MUS Computation (Extended version)
por: Bleukx, Ignace, et al.
Publicado: (2024)

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
por: Zhao, Puning, et al.
Publicado: (2023)

Global Minimizers of Sigmoid Contrastive Loss
por: Bangachev, Kiril, et al.
Publicado: (2025)

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
por: Hoang, Minh, et al.
Publicado: (2025)

Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
por: Cestero, Julen, et al.
Publicado: (2025)

Focused Skill Discovery: Learning to Control Specific State Variables while Minimizing Side Effects
por: Carr, Jonathan Colaço, et al.
Publicado: (2025)

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

Imitation Learning via Focused Satisficing
por: Shah, Rushit N., et al.
Publicado: (2025)

DAFOS: Dynamic Adaptive Fanout Optimization Sampler
por: Ullah, Irfan, et al.
Publicado: (2025)

The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold
por: Musat, Tiberiu
Publicado: (2025)

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam
por: Peng, Hanyang, et al.
Publicado: (2025)

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

Surrogate-Based Differentiable Pipeline for Shape Optimization
por: Rehmann, Andrin, et al.
Publicado: (2025)

Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture
por: Peršak, Egon, et al.
Publicado: (2024)

A Divide-Align-Conquer Strategy for Program Synthesis
por: Witt, Jonas, et al.
Publicado: (2023)

Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and Alignment
por: An, Zhiyu, et al.
Publicado: (2026)

EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
por: Meerza, Syed Irfan Ali, et al.
Publicado: (2024)

Optimizing Automatic Differentiation with Deep Reinforcement Learning
por: Lohoff, Jamie, et al.
Publicado: (2024)

Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making
por: Ahmad, Muhammad Aurangzeb
Publicado: (2025)