:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tu, Jiancheng, Fan, Wenqi, Wu, Zhibin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.02173
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BooleanOCT: Optimal Classification Trees based on multivariate Boolean Rules
by: Tu, Jiancheng, et al.
Published: (2024)

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

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

SRG: Score-based Relaxation-guided Generation for Mixed Integer Linear Programming
by: Wang, Ruobing, et al.
Published: (2026)

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

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

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

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

A Mathematical Programming Approach to Optimal Classification Forests
by: Blanco, Víctor, et al.
Published: (2022)

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

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

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

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

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

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

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)

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

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

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

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

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

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

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

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

From Observation to Orientation: an Adaptive Integer Programming Approach to Intervention Design
by: Elrefaey, Abdelmonem, et al.
Published: (2025)

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

A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming
by: Bonasera, Lorenzo, et al.
Published: (2024)

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

ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations
by: Rytir, Pavel, et al.
Published: (2024)

UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
by: Lin, Hao, et al.
Published: (2023)

Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach
by: She, Ruifeng, et al.
Published: (2025)

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

MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
by: Lorenz, Tobias, et al.
Published: (2024)

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
by: Fan, Chongyu, et al.
Published: (2023)

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

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

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

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

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