Learning to Solve Constrained Bilevel Control Co-Design Problems
Fuente:
arXiv
Saved in:
| Main Authors: | Kotary, James, Sharma, Himanshu, King, Ethan, Vrabie, Draguna, Fioretto, Ferdinando, Drgona, Jan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
Efficient Gradient-Based Optimization for Joint Layout Design and Control of Wind Turbines
by: Kotary, James, et al.
Published: (2025)
by: Kotary, James, et al.
Published: (2025)
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)
by: Guven, Yusuf, et al.
Published: (2025)
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming
by: King, Ethan, et al.
Published: (2024)
by: King, Ethan, et al.
Published: (2024)
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
by: Huang, Weimin, et al.
Published: (2026)
by: Huang, Weimin, et al.
Published: (2026)
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023)
by: Kotary, James, et al.
Published: (2023)
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
by: Mandi, Jayanta, et al.
Published: (2023)
by: Mandi, Jayanta, et al.
Published: (2023)
Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Learning Neural Differential Algebraic Equations via Operator Splitting
by: Koch, James, et al.
Published: (2024)
by: Koch, James, et al.
Published: (2024)
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
by: Zhang, Huaqing, et al.
Published: (2024)
by: Zhang, Huaqing, et al.
Published: (2024)
Efficient Primal Heuristics for Mixed Binary Quadratic Programs Using Suboptimal Rounding Guidance
by: Huang, Weimin, et al.
Published: (2025)
by: Huang, Weimin, et al.
Published: (2025)
Differentiable Predictive Control for Large-Scale Urban Road Networks
by: Tumu, Renukanandan, et al.
Published: (2024)
by: Tumu, Renukanandan, et al.
Published: (2024)
Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems
by: Li, Xingjian, et al.
Published: (2025)
by: Li, Xingjian, et al.
Published: (2025)
Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
by: Tang, Bo, et al.
Published: (2024)
by: Tang, Bo, et al.
Published: (2024)
Bayesian Optimization of Bilevel Problems
by: Ekmekcioglu, Omer, et al.
Published: (2024)
by: Ekmekcioglu, Omer, et al.
Published: (2024)
Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems
by: Shen, Yiyang, et al.
Published: (2026)
by: Shen, Yiyang, et al.
Published: (2026)
First-Order Methods for Linearly Constrained Bilevel Optimization
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Problem-Parameter-Free Decentralized Bilevel Optimization
by: Zhai, Zhiwei, et al.
Published: (2025)
by: Zhai, Zhiwei, et al.
Published: (2025)
Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow
by: Li, Shimiao, et al.
Published: (2025)
by: Li, Shimiao, et al.
Published: (2025)
Bilevel Learning with Inexact Stochastic Gradients
by: Salehi, Mohammad Sadegh, et al.
Published: (2024)
by: Salehi, Mohammad Sadegh, et al.
Published: (2024)
On Learning for Ambiguous Chance Constrained Problems
by: Madhusudanarao, A Ch, et al.
Published: (2023)
by: Madhusudanarao, A Ch, et al.
Published: (2023)
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
by: Curtis, Frank E., et al.
Published: (2023)
by: Curtis, Frank E., et al.
Published: (2023)
Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
by: Zheng, Zihao, et al.
Published: (2026)
by: Zheng, Zihao, et al.
Published: (2026)
Bilevel Models for Adversarial Learning and A Case Study
by: Zheng, Yutong, et al.
Published: (2025)
by: Zheng, Yutong, et al.
Published: (2025)
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
by: Shi, Wanli, et al.
Published: (2024)
by: Shi, Wanli, et al.
Published: (2024)
Machine Learning-Augmented Optimization of Large Bilevel and Two-stage Stochastic Programs: Application to Cycling Network Design
by: Chan, Timothy C. Y., et al.
Published: (2022)
by: Chan, Timothy C. Y., et al.
Published: (2022)
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
by: Shen, Han, et al.
Published: (2024)
by: Shen, Han, et al.
Published: (2024)
PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
On Stability in Optimistic Bilevel Optimization
by: Royset, Johannes O.
Published: (2024)
by: Royset, Johannes O.
Published: (2024)
A Robust, Efficient Predictive Safety Filter
by: Cortez, Wenceslao Shaw, et al.
Published: (2023)
by: Cortez, Wenceslao Shaw, et al.
Published: (2023)
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
by: Shen, Wei, et al.
Published: (2025)
by: Shen, Wei, et al.
Published: (2025)
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)
by: Dinh, My H., et al.
Published: (2024)
Safe Gradient Flow for Bilevel Optimization
by: Sharifi, Sina, et al.
Published: (2025)
by: Sharifi, Sina, et al.
Published: (2025)
An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation
by: Bogensperger, Lea, et al.
Published: (2024)
by: Bogensperger, Lea, et al.
Published: (2024)
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
by: Le, Thinh Viet, et al.
Published: (2023)
by: Le, Thinh Viet, et al.
Published: (2023)
A Framework for Bilevel Optimization on Riemannian Manifolds
by: Han, Andi, et al.
Published: (2024)
by: Han, Andi, et al.
Published: (2024)
On Penalty-based Bilevel Gradient Descent Method
by: Shen, Han, et al.
Published: (2023)
by: Shen, Han, et al.
Published: (2023)
Online Nonconvex Bilevel Optimization with Bregman Divergences
by: Bohne, Jason, et al.
Published: (2024)
by: Bohne, Jason, et al.
Published: (2024)
Effective Bilevel Optimization via Minimax Reformulation
by: Wang, Xiaoyu, et al.
Published: (2023)
by: Wang, Xiaoyu, et al.
Published: (2023)
Stability-Constrained AC Optimal Power Flow--A Gaussian Process-Based Approach
by: Di Vito, Vincenzo, et al.
Published: (2025)
by: Di Vito, Vincenzo, et al.
Published: (2025)
Similar Items
-
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024) -
Efficient Gradient-Based Optimization for Joint Layout Design and Control of Wind Turbines
by: Kotary, James, et al.
Published: (2025) -
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025) -
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming
by: King, Ethan, et al.
Published: (2024) -
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
by: Huang, Weimin, et al.
Published: (2026)