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 101–125 of 423 papers

TitleStatusHype
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search—0
Adaptive Mirror Descent Bilevel Optimization—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems—0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications—0
Combining Physics and Machine Learning for Network Flow Estimation—0
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation—0
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems—0
Communication-Efficient Robust Federated Learning with Noisy Labels—0
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning—0
Conformal Predictive Programming for Chance Constrained Optimization—0
Consistency analysis of bilevel data-driven learning in inverse problems—0
Contextual Stochastic Bilevel Optimization—0
Convergence and Sample Complexity of SGD in GANs—0
Convergence Properties of Stochastic Hypergradients—0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective—0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic—0
Convexifying Regulation Market Clearing of State-of-Charge Dependent Bid—0
Convolutional Dictionary Learning Based Hybrid-Field Channel Estimation for XL-RIS-Aided Massive MIMO Systems—0
Cooperative Lane Changing in Mixed Traffic can be Robust to Human Driver Behavior—0
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction—0
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization—0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
Data Summarization via Bilevel Optimization—0
A Challenge in Reweighting Data with Bilevel Optimization—0
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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