Saved in:
| Main Authors: | King, Ethan, Kotary, James, Fioretto, Ferdinando, Drgona, Jan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.00882 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Solve Constrained Bilevel Control Co-Design Problems
by: Kotary, James, et al.
Published: (2025)
by: Kotary, James, et al.
Published: (2025)
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
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)
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023)
by: Kotary, James, et al.
Published: (2023)
Learning Joint Models of Prediction and Optimization
by: Kotary, James, et al.
Published: (2024)
by: Kotary, James, et al.
Published: (2024)
Learning Neural Differential Algebraic Equations via Operator Splitting
by: Koch, James, et al.
Published: (2024)
by: Koch, James, et al.
Published: (2024)
End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
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)
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
by: Dinh, My H, et al.
Published: (2024)
by: Dinh, My H, et al.
Published: (2024)
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)
by: Guven, Yusuf, et al.
Published: (2025)
Learning To Solve Differential Equation Constrained Optimization Problems
by: Di Vito, Vincenzo, et al.
Published: (2024)
by: Di Vito, Vincenzo, et al.
Published: (2024)
Stability Enhanced Gaussian Process Variational Autoencoders
by: Richardson, Carl R., et al.
Published: (2026)
by: Richardson, Carl R., et al.
Published: (2026)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling
by: Christopher, Jacob K., et al.
Published: (2026)
by: Christopher, Jacob K., et al.
Published: (2026)
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)
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)
Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)
by: Liang, Jinhao, et al.
Published: (2025)
Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)
by: Liang, Jinhao, et al.
Published: (2026)
Disparate Impact on Group Accuracy of Linearization for Private Inference
by: Das, Saswat, et al.
Published: (2024)
by: Das, Saswat, et al.
Published: (2024)
The Data Minimization Principle in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
Constrained Synthesis with Projected Diffusion Models
by: Christopher, Jacob K, et al.
Published: (2024)
by: Christopher, Jacob K, et al.
Published: (2024)
Simple Self-Conditioning Adaptation for Masked Diffusion Models
by: Cardei, Michael, et al.
Published: (2026)
by: Cardei, Michael, et al.
Published: (2026)
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
by: Chen, Shuyi, et al.
Published: (2025)
by: Chen, Shuyi, et al.
Published: (2025)
$\partial$CBDs: Differentiable Causal Block Diagrams
by: Beckers, Thomas, et al.
Published: (2026)
by: Beckers, Thomas, et al.
Published: (2026)
Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects
by: Cui, Jingyi, et al.
Published: (2026)
by: Cui, Jingyi, et al.
Published: (2026)
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)
by: Wang, Prince Zizhuang, et al.
Published: (2025)
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
by: Christopher, Jacob K, et al.
Published: (2024)
by: Christopher, Jacob K, et al.
Published: (2024)
Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Search-Augmented Masked Diffusion Models for Constrained Generation
by: Ta, Huu Binh, et al.
Published: (2026)
by: Ta, Huu Binh, et al.
Published: (2026)
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025)
by: Christopher, Jacob K., et al.
Published: (2025)
FairDP: Certified Fairness with Differential Privacy
by: Tran, Khang, et al.
Published: (2023)
by: Tran, Khang, et al.
Published: (2023)
Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2024)
by: Liang, Jinhao, et al.
Published: (2024)
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)
by: Liang, Jinhao, et al.
Published: (2025)
Training-Free Constrained Generation With Stable Diffusion Models
by: Zampini, Stefano, et al.
Published: (2025)
by: Zampini, Stefano, et al.
Published: (2025)
Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation
by: Liang, Jinhao, et al.
Published: (2025)
by: Liang, Jinhao, et al.
Published: (2025)
On The Fairness Impacts of Hardware Selection in Machine Learning
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
SoK: Data Minimization in Machine Learning
by: Staab, Robin, et al.
Published: (2025)
by: Staab, Robin, 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)
Similar Items
-
Learning to Solve Constrained Bilevel Control Co-Design Problems
by: Kotary, James, et al.
Published: (2025) -
Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024) -
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024) -
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023) -
Learning Joint Models of Prediction and Optimization
by: Kotary, James, et al.
Published: (2024)