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End-to-End Learning for Optimization via Constraint-Enforcing Approximators

https://doi.org/10.1609/aaai.v37i6.25884
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf00363956openalex-snapshot
On the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank
inferredcites →https://doi.org/10.1016/0020-0190(79)90152-2openalex-snapshot
Linear programming is log-space hard for P
inferredcites →https://doi.org/10.1080/01621459.1983.10477029openalex-snapshot
An Algorithm for Restricted Least Squares Regression
inferredcites →https://doi.org/10.1080/01630569408816580openalex-snapshot
The rate of convergence of dykstra's cyclic projections algorithm: The polyhedral case
inferredcites →https://doi.org/10.1287/mnsc.2018.3253openalex-snapshot
From Predictive to Prescriptive Analytics
inferredcites →https://doi.org/10.1287/mnsc.2020.3922openalex-snapshot
Smart “Predict, then Optimize”
inferredcites →https://doi.org/10.1287/opre.2018.1757openalex-snapshot
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011658openalex-snapshot
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
inferredcites →https://doi.org/10.1609/aaai.v36i4.20284openalex-snapshot
The Perils of Learning Before Optimizing
inferredcites →https://doi.org/10.17617/3.yjcq5sopenalex-snapshot
Differentiation of Blackbox Combinatorial Solvers
inferredcites →https://doi.org/10.2139/ssrn.2559116openalex-snapshot
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.4230/oasics.asd.2020.1openalex-snapshot
Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles
inferredcites →https://doi.org/10.48550/arxiv.1506.03134openalex-snapshot
Pointer Networks
inferredcites →https://doi.org/10.48550/arxiv.1606.04474openalex-snapshot
Learning to learn by gradient descent by gradient descent
inferredcites →https://doi.org/10.48550/arxiv.1611.03824openalex-snapshot
Learning to Learn without Gradient Descent by Gradient Descent
inferredcites →https://doi.org/10.48550/arxiv.1703.00443openalex-snapshot
OptNet: Differentiable Optimization as a Layer in Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2002.04632openalex-snapshot
Black-Box Optimization with Local Generative Surrogates
inferredcites →https://doi.org/10.48550/arxiv.2002.08676openalex-snapshot
Learning with Differentiable Perturbed Optimizers
inferredcites →https://doi.org/10.48550/arxiv.2010.13943openalex-snapshot
Interior Point Solving for LP-based prediction+optimisation
inferredcites →https://doi.org/10.48550/arxiv.2104.12225openalex-snapshot
DC3: A learning method for optimization with hard constraints
inferredcites →https://doi.org/10.48550/arxiv.2106.01798openalex-snapshot
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
inferredcites →https://doi.org/10.48550/arxiv.2110.05651openalex-snapshot
Learning with Algorithmic Supervision via Continuous Relaxations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4746243openalex-extracted
One Step Beyond Linear: Performance Guarantees for Decision-Focused Learning with Rectified-Linear Objectives
inferred← citeshttps://doi.org/10.1007/s11063-025-11746-wopenalex-snapshot
Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review
inferred← citeshttps://doi.org/10.1016/j.ejor.2024.03.020openalex-snapshot
A survey of contextual optimization methods for decision-making under uncertainty
inferred← citeshttps://doi.org/10.1016/j.tre.2024.103683openalex-snapshot
Unlocking efficiency: End-to-end optimization learning for recurrent facility operational planning
inferred← citeshttps://doi.org/10.1109/access.2023.3285199openalex-snapshot
Learning to Solve Optimization Problems With Hard Linear Constraints
inferred← citeshttps://doi.org/10.1109/lcsys.2026.3707460openalex-snapshot
HardNet++: Nonlinear Constraint Enforcement in Neural Networks
inferred← citeshttps://doi.org/10.1109/tpwrs.2024.3354733openalex-snapshot
FRMNet: A Feasibility Restoration Mapping Deep Neural Network for AC Optimal Power Flow
inferred← citeshttps://doi.org/10.1109/twc.2025.3601049openalex-snapshot
Model-Based Deep Learning for QoS-Aware Rate-Splitting Multiple Access Wireless Systems
inferred← citeshttps://doi.org/10.1287/msom.2025.1065openalex-snapshot
OM Forum—Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community
inferred← citeshttps://doi.org/10.1287/serv.2024.0236openalex-snapshot
Inventory Management with Transformer: Automated Decision Making for Order Timing and Quantity
inferred← citeshttps://doi.org/10.2139/ssrn.6194979openalex-snapshot
A Robust End-to-End Predict-Then-Optimize Framework for Time-Dependent Vehicle Routing Problem with Path Flexibility under Urban Traffic Dynamics
inferred← citeshttps://doi.org/10.2139/ssrn.7077547openalex-snapshot
A Robust End-to-End Predict-Then-Optimize Framework for Time-Dependent Vehicle Routing Problem with Path Flexibility under Urban Traffic Dynamics
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