:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruobing, Li, Xin, Fang, Yujie, Wang, Mingzhong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.24033
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
by: Le, Tung Quoc, et al.
Published: (2026)

Towards Foundation Models for Mixed Integer Linear Programming
by: Li, Sirui, et al.
Published: (2024)

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
by: Li, Yixuan, et al.
Published: (2024)

OTLP: Output Thresholding Using Mixed Integer Linear Programming
by: Koseoglu, Baran, et al.
Published: (2024)

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
by: Liu, Haoyang, et al.
Published: (2025)

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

Mixing Vector Model for Copolymer Inference via Mixed Integer Linear Programming
by: Zhu, Jianshen, et al.
Published: (2026)

Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
by: Wang, Xiaoke, et al.
Published: (2025)

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
by: Wang, Min, et al.
Published: (2026)

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)

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

Towards Environment-Sensitive Molecular Inference via Mixed Integer Linear Programming
by: Zhu, Jianshen, et al.
Published: (2025)

Generalized Optimal Classification Trees: A Mixed-Integer Programming Approach
by: Tu, Jiancheng, et al.
Published: (2026)

Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
by: Li, Jiajun, et al.
Published: (2025)

Solving Integer Linear Programming with Parallel Tempering
by: Sim, Kyuil, et al.
Published: (2026)

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

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

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

Exact Certification of Data-Poisoning Attacks Using Mixed-Integer Programming
by: Sosnin, Philip, et al.
Published: (2026)

Combining Graph Neural Networks and Mixed Integer Linear Programming for Molecular Inference under the Two-Layered Model
by: Zhu, Jianshen, et al.
Published: (2025)

CrystalICL: Enabling In-Context Learning for Crystal Generation
by: Wang, Ruobing, et al.
Published: (2025)

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

Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
by: Nie, Yunfei, et al.
Published: (2026)

Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
by: Wang, Min, et al.
Published: (2025)

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

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

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

Optimal Mixed Integer Linear Optimization Trained Multivariate Classification Trees
by: Alston, Brandon, et al.
Published: (2024)

Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting
by: McKenzie, Daniel, et al.
Published: (2023)

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

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

RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
by: Lee, Tae-Hoon, et al.
Published: (2024)

Score-based Causal Representation Learning: Linear and General Transformations
by: Varıcı, Burak, et al.
Published: (2024)

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

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

SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs
by: Feng, Shengyu, et al.
Published: (2025)

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

FADE: Towards Fairness-aware Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
by: Lin, Yujie, et al.
Published: (2024)

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