Saved in:
| Main Authors: | Liu, Anbang, Lin, Shaochong, Chen, Jingchuan, Wu, Peng, Shen, Zuojun Max |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.22642 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
by: Liu, Anbang, et al.
Published: (2025)
by: Liu, Anbang, et al.
Published: (2025)
Optimization via a Control-Centric Framework
by: Mudrik, Liraz, et al.
Published: (2025)
by: Mudrik, Liraz, et al.
Published: (2025)
A Machine Learning Approach to Boost the Vehicle-2-Grid Scheduling
by: Agliardi, Gabriele, et al.
Published: (2024)
by: Agliardi, Gabriele, et al.
Published: (2024)
Client-Centric Federated Adaptive Optimization
by: Sun, Jianhui, et al.
Published: (2025)
by: Sun, Jianhui, et al.
Published: (2025)
A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity
by: Morey, Danielle F., et al.
Published: (2026)
by: Morey, Danielle F., et al.
Published: (2026)
A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety
by: Li, Gang, et al.
Published: (2024)
by: Li, Gang, et al.
Published: (2024)
A Novel State-Centric Necessary Condition for Time-Optimal Control of Controllable Linear Systems Based on Augmented Switching Laws (Extended Version)
by: Wang, Yunan, et al.
Published: (2024)
by: Wang, Yunan, et al.
Published: (2024)
Learning Rate Schedules in the Presence of Distribution Shift
by: Fahrbach, Matthew, et al.
Published: (2023)
by: Fahrbach, Matthew, et al.
Published: (2023)
Accelerating Level-Value Adjustment for the Polyak Stepsize
by: Liu, Anbang, et al.
Published: (2023)
by: Liu, Anbang, et al.
Published: (2023)
A Decision Diagram Approach for the Parallel Machine Scheduling Problem with Chance Constraints
by: Casassus, Nicolás, et al.
Published: (2025)
by: Casassus, Nicolás, et al.
Published: (2025)
Active Learning For Contextual Linear Optimization: A Margin-Based Approach
by: Liu, Mo, et al.
Published: (2023)
by: Liu, Mo, et al.
Published: (2023)
U-OBCA: Uncertainty-Aware Optimization-Based Collision Avoidance via Wasserstein Distributionally Robust Chance Constraints
by: Wang, Zehao, et al.
Published: (2026)
by: Wang, Zehao, et al.
Published: (2026)
Distributed Least-Squares Optimization Solvers with Differential Privacy
by: Liu, Weijia, et al.
Published: (2024)
by: Liu, Weijia, et al.
Published: (2024)
Gain-Scheduled Data-Enabled Predictive Control: A DeePC Approach for Nonlinear Systems
by: Guerrero, Margarita A., et al.
Published: (2025)
by: Guerrero, Margarita A., et al.
Published: (2025)
Job Shop Scheduling with Integer Programming, Shifting Bottleneck, and Decision Diagrams: A Computational Study
by: King, Brannon, et al.
Published: (2024)
by: King, Brannon, et al.
Published: (2024)
Scheduling problems of aircraft on a same runway and dual runways
by: Lin, Peng, et al.
Published: (2025)
by: Lin, Peng, et al.
Published: (2025)
Train Unit Scheduling Optimization Considering Unit Ordering
by: Luo, Yunjian, et al.
Published: (2025)
by: Luo, Yunjian, et al.
Published: (2025)
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
by: Linghu, Yuxuan, et al.
Published: (2026)
by: Linghu, Yuxuan, et al.
Published: (2026)
Parallel KKT Solver in PIQP for Multistage Optimization
by: Song, Fenglong, et al.
Published: (2025)
by: Song, Fenglong, et al.
Published: (2025)
cuPDLPx: A Further Enhanced GPU-Based First-Order Solver for Linear Programming
by: Lu, Haihao, et al.
Published: (2025)
by: Lu, Haihao, et al.
Published: (2025)
EIQP: Execution-time-certified and Infeasibility-detecting QP Solver
by: Wu, Liang, et al.
Published: (2025)
by: Wu, Liang, et al.
Published: (2025)
Design of Transit-Centric Multimodal Urban Mobility System with Autonomous Mobility-on-Demand
by: Guo, Xiaotong, et al.
Published: (2024)
by: Guo, Xiaotong, et al.
Published: (2024)
LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-then-Optimize Approach
by: Jha, Anjali, et al.
Published: (2025)
by: Jha, Anjali, et al.
Published: (2025)
Machine Learning Algorithms for Improving Exact Classical Solvers in Mixed Integer Continuous Optimization
by: Kimiaei, Morteza, et al.
Published: (2025)
by: Kimiaei, Morteza, et al.
Published: (2025)
Regulation Zero 2: A Flow-Centric Sequential Regulation Planning Framework to Counter Regulation Cascading in Pre-tactical Air Traffic Flow Management
by: Hoang, Thinh, et al.
Published: (2026)
by: Hoang, Thinh, et al.
Published: (2026)
$π$MPC: A Parallel-in-horizon and Construction-free NMPC Solver
by: Wu, Liang, et al.
Published: (2026)
by: Wu, Liang, et al.
Published: (2026)
Accelerate Solving Expensive Scheduling by Leveraging Economical Auxiliary Tasks
by: Li, Minshuo, et al.
Published: (2024)
by: Li, Minshuo, et al.
Published: (2024)
Optimization over Trained Neural Networks: Difference-of-Convex Algorithm and Application to Data Center Scheduling
by: Liu, Xinwei, et al.
Published: (2025)
by: Liu, Xinwei, et al.
Published: (2025)
Nurse Scheduling Problem via PyQUBO
by: Lin, Matthew M., et al.
Published: (2023)
by: Lin, Matthew M., et al.
Published: (2023)
Probable Event Constrained Optimization and A Data-embedded Solution Paradigm
by: Li, Qifeng
Published: (2022)
by: Li, Qifeng
Published: (2022)
A Position Allocation Approach to the Scheduling of Battery-Electric Bus Charging
by: Brown, Alexander, et al.
Published: (2024)
by: Brown, Alexander, et al.
Published: (2024)
A Network Flow Approach to Optimal Scheduling in Supply Chain Logistics
by: Wang, Yichen, et al.
Published: (2024)
by: Wang, Yichen, et al.
Published: (2024)
From Data to Uncertainty Sets: a Machine Learning Approach
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Optimal Meal Schedule for a Local Nonprofit Using LLM-Aided Data Extraction
by: Marin, Sergio, et al.
Published: (2025)
by: Marin, Sergio, et al.
Published: (2025)
Multiclass Queue Scheduling Under Slowdown: An Approximate Dynamic Programming Approach
by: Dong, Jing, et al.
Published: (2025)
by: Dong, Jing, et al.
Published: (2025)
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
by: Huang, Yilie, et al.
Published: (2026)
by: Huang, Yilie, et al.
Published: (2026)
Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
by: Liu, Rong-Peng, et al.
Published: (2023)
by: Liu, Rong-Peng, et al.
Published: (2023)
Robustness Measures for Stochastic Parallel Machine Scheduling and Train Unit Shunting
by: Loman, Casper, et al.
Published: (2025)
by: Loman, Casper, et al.
Published: (2025)
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
by: Lu, Jiawei, et al.
Published: (2024)
by: Lu, Jiawei, et al.
Published: (2024)
Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling
by: Antonov, Nikolai, et al.
Published: (2025)
by: Antonov, Nikolai, et al.
Published: (2025)
Similar Items
-
Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
by: Liu, Anbang, et al.
Published: (2025) -
Optimization via a Control-Centric Framework
by: Mudrik, Liraz, et al.
Published: (2025) -
A Machine Learning Approach to Boost the Vehicle-2-Grid Scheduling
by: Agliardi, Gabriele, et al.
Published: (2024) -
Client-Centric Federated Adaptive Optimization
by: Sun, Jianhui, et al.
Published: (2025) -
A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity
by: Morey, Danielle F., et al.
Published: (2026)