:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hou, Zhinan, Li, Xingchen, Zhang, Yankai, Li, Tianxun, You, Keyou
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Optimization and Control
Accès en ligne:	https://arxiv.org/abs/2605.10401
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Reliably Learn to Trim Multiparametric Quadratic Programs via Constraint Removal
par: Hou, Zhinan, et autres
Publié: (2024)

ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
par: Li, Xingchen, et autres
Publié: (2026)

Learning Branching Policies for MILPs with Proximal Policy Optimization
par: Mhamed, Abdelouahed Ben, et autres
Publié: (2025)

FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
par: Li, Hongpei, et autres
Publié: (2025)

Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling
par: Çetinkaya, İbrahim Oğuz, et autres
Publié: (2025)

CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
par: Anand, Akhil S, et autres
Publié: (2025)

Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
par: Cheng, Hongyu, et autres
Publié: (2025)

A Branch-and-Price Algorithm for Fast and Equitable Last-Mile Relief Aid Distribution
par: Mostajabdaveh, Mahdi, et autres
Publié: (2025)

PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs
par: Turner, Mark, et autres
Publié: (2023)

Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
par: Kang, Shubo, et autres
Publié: (2026)

Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence
par: Zhao, Feiran, et autres
Publié: (2024)

Correlated Mutations for Integer Programming
par: Shir, Ofer M., et autres
Publié: (2025)

Homotopy Continuation Enhanced Branch and Bound Algorithms for Strongly Nonconvex Mixed-Integer Nonlinear Programming Problems
par: Ma, Yingjie, et autres
Publié: (2021)

Taming Binarized Neural Networks and Mixed-Integer Programs
par: Aspman, Johannes, et autres
Publié: (2023)

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem
par: Cai, Junyang, et autres
Publié: (2024)

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning
par: Cai, Junyang, et autres
Publié: (2024)

Feed-Forward Neural Networks as a Mixed-Integer Program
par: Aftabi, Navid, et autres
Publié: (2024)

Multi-task Representation Learning for Mixed Integer Linear Programming
par: Cai, Junyang, et autres
Publié: (2024)

Deep Reinforcement Learning for Traveling Purchaser Problems
par: Yuan, Haofeng, et autres
Publié: (2024)

Linear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking
par: Kang, Shubo, et autres
Publié: (2024)

Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching
par: Bayramoğlu, Selin, et autres
Publié: (2026)

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
par: Scavuzzo, Lara, et autres
Publié: (2024)

Asynchronous Parallel Policy Gradient Methods for the Linear Quadratic Regulator
par: Sha, Xingyu, et autres
Publié: (2024)

Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers
par: Cooper, Joshua F., et autres
Publié: (2024)

Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR
par: Zhao, Feiran, et autres
Publié: (2024)

DiscoverDCP: A Data-Driven Approach for Construction of Disciplined Convex Programs via Symbolic Regression
par: Myhre, Sveinung
Publié: (2025)

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
par: Ye, Tinghan, et autres
Publié: (2026)

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

Piecewise Polynomial Regression of Tame Functions via Integer Programming
par: Bareilles, Gilles, et autres
Publié: (2023)

Exploiting Edited Large Language Models as General Scientific Optimizers
par: Lv, Qitan, et autres
Publié: (2025)

OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM
par: Zhang, Bowen, et autres
Publié: (2025)

Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
par: Glentis, Athanasios, et autres
Publié: (2025)

Harnessing Data for Accelerating Model Predictive Control by Constraint Removal
par: Hou, Zhinan, et autres
Publié: (2024)

Intersectional Fairness via Mixed-Integer Optimization
par: Němeček, Jiří, et autres
Publié: (2026)

Algorithmic Prompt-Augmentation for Efficient LLM-Based Heuristic Design for A* Search
par: Bömer, Thomas, et autres
Publié: (2026)

Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
par: Zheng, Xinda, et autres
Publié: (2025)

Deep Learning for Two-Stage Robust Integer Optimization
par: Dumouchelle, Justin, et autres
Publié: (2023)

Policy Optimization for PDE Control with a Warm Start
par: Zhang, Xiangyuan, et autres
Publié: (2024)

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks
par: Ataei, Masoud, et autres
Publié: (2025)

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
par: Pan, Rui, et autres
Publié: (2024)