SOTAVerified

Bilevel Optimization

Bilevel Optimization is a branch of optimization, which contains a nested optimization problem within the constraints of the outer optimization problem. The outer optimization task is usually referred as the upper level task, and the nested inner optimization task is referred as the lower level task. The lower level problem appears as a constraint, such that only an optimal solution to the lower level optimization problem is a possible feasible candidate to the upper level optimization problem.

Source: Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization

Papers

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Showing 351–375 of 423 papers

TitleStatusHype
Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks—0
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing—0
GABO: Graph Augmentations with Bi-level Optimization—0
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?Code0
Recognizing Predictive Substructures with Subgraph Information Bottleneck—0
Age of Information Optimization in a RIS-Assisted Wireless Network—0
BODAME: Bilevel Optimization for Defense Against Model Extraction—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum—0
A Single-Timescale Method for Stochastic Bilevel Optimization—0
Lower Bounds and Accelerated Algorithms for Bilevel Optimization—0
Load Encoding for Learning AC-OPF—0
Integrated Optimization of Predictive and Prescriptive Tasks—0
Combining Physics and Machine Learning for Network Flow Estimation—0
How Robust are Randomized Smoothing based Defenses to Data Poisoning?—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Convergence and Sample Complexity of SGD in GANs—0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery—0
Differentiable Neural Architecture Search in Equivalent Space with Exploration EnhancementCode0
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment—0
Convergence Properties of Stochastic Hypergradients—0
Bilevel Continual Learning—0
Modeling and Optimization Trade-off in Meta-learningCode0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.21—Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.48—Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap1.44—Unverified