Cover Image

Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Shuli, Zhang, Sijia, Wu, Feng, Tang, Shaojie, Li, Xiang-Yang
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
by: Zeng, Shuli, et al.
Published: (2025)

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

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

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

Intersectional Fairness via Mixed-Integer Optimization
by: Němeček, Jiří, et al.
Published: (2026)

Improved Learning Rates for Stochastic Optimization
by: Li, Shaojie, et al.
Published: (2021)

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

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

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

Tensor Completion via Integer Optimization
by: Chen, Xin, et al.
Published: (2024)

Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization
by: Park, Sangwoo, et al.
Published: (2025)

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

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

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

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

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

Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
by: Huang, Ruichuan, et al.
Published: (2025)

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
by: Demelas, Francesco, et al.
Published: (2023)

Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent
by: Liu, Zhiyu, et al.
Published: (2025)

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

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

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

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

Sample Complexity of Stochastic Optimization with Integer Variables
by: Cheng, Hongyu, et al.
Published: (2026)

Stochastic Compositional Optimization with Compositional Constraints
by: Yang, Shuoguang, et al.
Published: (2022)

Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks
by: Jnini, Anas, et al.
Published: (2025)

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

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

Solving 0-1 Integer Programs with Unknown Knapsack Constraints Using Membership Oracles
by: Messana, Rosario, et al.
Published: (2024)

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
by: Jiang, Liuyuan, et al.
Published: (2024)

CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
by: Feng, Miria, et al.
Published: (2024)

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

Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms
by: Pokutta, Sebastian
Published: (2025)

Muon Optimizes Under Spectral Norm Constraints
by: Chen, Lizhang, et al.
Published: (2025)

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

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

Scalable Kernel Inverse Optimization
by: Long, Youyuan, et al.
Published: (2024)

ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
by: Pan, Rui, et al.
Published: (2024)

Physics-Informed Neural Networks with Hard Linear Equality Constraints
by: Chen, Hao, et al.
Published: (2024)

Distributed Online Convex Optimization with Nonseparable Costs and Constraints
by: Pan, Zhaoye, et al.
Published: (2026)