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

Showing 3140 of 423 papers

TitleStatusHype
Learning Theory for Kernel Bilevel Optimization0
LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy ControlCode1
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training0
BILBO: BILevel Bayesian OptimizationCode0
qNBO: quasi-Newton Meets Bilevel Optimization0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation0
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets0
Safe Gradient Flow for Bilevel OptimizationCode0
Evaluating Data Influence in Meta Learning0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features0
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Benchmark Results

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