Imagen de Portada

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Demelas, Francesco, Roux, Joseph Le, Lacroix, Mathieu, Parmentier, Axel
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bundle Network: a Machine Learning-Based Bundle Method
por: Demelas, Francesca, et al.
Publicado: (2025)

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
por: Scavuzzo, Lara, et al.
Publicado: (2024)

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning
por: Cai, Junyang, et al.
Publicado: (2024)

Multi-task Representation Learning for Mixed Integer Linear Programming
por: Cai, Junyang, et al.
Publicado: (2024)

Mixed-Integer Programming for Change-point Detection
por: Narula, Apoorva, et al.
Publicado: (2026)

A Distance Metric for Mixed Integer Programming Instances
por: Maudet, Gwen, et al.
Publicado: (2025)

Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
por: Tang, Bo, et al.
Publicado: (2024)

Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching
por: Bayramoğlu, Selin, et al.
Publicado: (2026)

Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
por: Chen, Ziang, et al.
Publicado: (2024)

Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles
por: Forel, Alexandre, et al.
Publicado: (2022)

Differentiable Integer Linear Programming is not Differentiable & it's not a mere technical problem
por: Sornwanee, Thanawat
Publicado: (2026)

Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer Programs
por: Qu, Shiyuan, et al.
Publicado: (2024)

Taming Binarized Neural Networks and Mixed-Integer Programs
por: Aspman, Johannes, et al.
Publicado: (2023)

Dual Lagrangian Learning for Conic Optimization
por: Tanneau, Mathieu, et al.
Publicado: (2024)

Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
por: Jungel, Kai, et al.
Publicado: (2023)

Primal-dual algorithm for contextual stochastic combinatorial optimization
por: Bouvier, Louis, et al.
Publicado: (2025)

DistrictNet: Decision-aware learning for geographical districting
por: Ahmed, Cheikh, et al.
Publicado: (2024)

Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
por: Levin, Ilya, et al.
Publicado: (2026)

Feed-Forward Neural Networks as a Mixed-Integer Program
por: Aftabi, Navid, et al.
Publicado: (2024)

Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
por: Biggs, Max, et al.
Publicado: (2023)

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
por: Ovalle, Daniel, et al.
Publicado: (2025)

Responsible Machine Learning via Mixed-Integer Optimization
por: Justin, Nathan, et al.
Publicado: (2025)

Preference-aware compensation policies for crowdsourced on-demand services
por: Nouli, Georgina, et al.
Publicado: (2025)

Learning Cut Generating Functions for Integer Programming
por: Cheng, Hongyu, et al.
Publicado: (2024)

Combinatorial Optimization Augmented Machine Learning
por: Schiffer, Maximilian, et al.
Publicado: (2026)

Structured Reinforcement Learning for Combinatorial Decision-Making
por: Hoppe, Heiko, et al.
Publicado: (2025)

On Integer Programming for the Binarized Neural Network Verification Problem
por: Kim, Woojin, et al.
Publicado: (2025)

Accelerated Nonnegative Tensor Completion via Integer Programming
por: Pan, Wenhao, et al.
Publicado: (2022)

Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
por: Zeng, Shuli, et al.
Publicado: (2025)

Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers
por: Cooper, Joshua F., et al.
Publicado: (2024)

Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
por: Cheng, Hongyu, et al.
Publicado: (2025)

Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching
por: Chen, Yanguang, et al.
Publicado: (2023)

On the ReLU Lagrangian Cuts for Stochastic Mixed Integer Programming
por: Deng, Haoyun, et al.
Publicado: (2024)

Lagrangian Duality for Mixed-Integer Semidefinite Programming: Theory and Algorithms
por: de Meijer, Frank, et al.
Publicado: (2025)

Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
por: Shihua, James M., et al.
Publicado: (2025)

Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
por: Zeng, Hao, et al.
Publicado: (2024)

Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
por: Kitaoka, Akira
Publicado: (2025)

Learning to Remove Cuts in Integer Linear Programming
por: Puigdemont, Pol, et al.
Publicado: (2024)

Machine Learning Algorithms for Improving Exact Classical Solvers in Mixed Integer Continuous Optimization
por: Kimiaei, Morteza, et al.
Publicado: (2025)

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem
por: Cai, Junyang, et al.
Publicado: (2024)