Co-occurring keywords · papers mentioning both
Papers
Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization
AAAI 2025
A Framework for Data-Driven Explainability in Mathematical Optimization
AAAI 2024
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
CVPR 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
NeurIPS 2023
Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training
AACL 2022
SP-PIFO: Approximating Push-In First-Out Behaviors using Strict-Priority Queues
NSDI 2020
Argumentation for Explainable Scheduling
AAAI 2019
Branch-and-Cut-and-Price for Multi-Agent Pathfinding
IJCAI 2019
Learning to Discover Efficient Mathematical Identities
NeurIPS 2014