Cover Image

Bridging Deep Learning and Integer Linear Programming: A Predictive-to-Prescriptive Framework for Supply Chain Analytics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nghiep, Khai Banh, Minh, Duc Nguyen, Thi, Lan Hoang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2025)

Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users
by: Phuong, Thuy Pham Thi, et al.
Published: (2026)

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

Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)

Amortized Optimal Transport from Sliced Potentials
by: Truong, Minh-Phuc, et al.
Published: (2026)

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

Sequence Diffusion Model for Temporal Link Prediction in Continuous-Time Dynamic Graph
by: Duc, Nguyen Minh, et al.
Published: (2026)

A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
by: Anh, Vu Duc, et al.
Published: (2024)

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

Data-Driven DRO and Economic Decision Theory: An Analytical Synthesis With Bayesian Nonparametric Advancements
by: Bariletto, Nicola, et al.
Published: (2024)

Multimodal Prescriptive Deep Learning
by: Bertsimas, Dimitris, et al.
Published: (2025)

Metacognitive Sensitivity for Test-Time Dynamic Model Selection
by: Trinh, Le Tuan Minh, et al.
Published: (2025)

Sliced-Regularized Optimal Transport
by: Nguyen, Khai
Published: (2026)

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

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
by: Hoang-Minh, Thanh
Published: (2025)

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

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

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning
by: Kulbach, Cedric, et al.
Published: (2024)

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
by: Dm, Duc, et al.
Published: (2026)

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

Polynomiogram: An Integrated Framework for Root Visualization and Generative Art
by: Nguyen, Hoang Duc, et al.
Published: (2025)

Continual Fine-Tuning with Provably Accurate and Parameter-Free Task Retrieval
by: Le, Hang Thi-Thuy, et al.
Published: (2026)

Streaming Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)

R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
by: Hoang, Trung-Hieu, et al.
Published: (2024)

S-Chain: Structured Visual Chain-of-Thought For Medicine
by: Le-Duc, Khai, et al.
Published: (2025)

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

Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations
by: Nguyen, Minh-Duc, et al.
Published: (2025)

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

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

A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
by: Rana, Md Masud, et al.
Published: (2025)

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

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

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)

Reviving Error Correction in Modern Deep Time-Series Forecasting
by: Nguyen, Minh Hoang, et al.
Published: (2026)

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

Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning
by: Zhang, Shiman, et al.
Published: (2025)

An Introduction to Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)

Real-time Speech Summarization for Medical Conversations
by: Le-Duc, Khai, et al.
Published: (2024)

Bridging Theory and Practice: A Stochastic Learning-Optimization Model for Resilient Automotive Supply Chains
by: Shahnawaz, Muhammad, et al.
Published: (2025)

Bridging Predictive Coding and MDL: A Two-Part Code Framework for Deep Learning
by: Prada, Benjamin, et al.
Published: (2025)