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 2650 of 423 papers

TitleStatusHype
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry0
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction0
PRDP: Progressively Refined Differentiable PhysicsCode0
Adversarial Training for Defense Against Label Poisoning AttacksCode0
Learning Theory for Kernel Bilevel Optimization0
LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy ControlCode1
A First-order Generative Bilevel Optimization Framework for Diffusion Models0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training0
BILBO: BILevel Bayesian OptimizationCode0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation0
qNBO: quasi-Newton Meets Bilevel Optimization0
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets0
Safe Gradient Flow for Bilevel OptimizationCode0
Evaluating Data Influence in Meta Learning0
Analyzing the Role of the DSO in Electricity Trading of VPPs via a Stackelberg Game ModelCode0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features0
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Bayesian Optimization of Bilevel Problems0
Learning sparsity-promoting regularizers for linear inverse problems0
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Bilevel Learning with Inexact Stochastic GradientsCode0
Self-Interested Agents in Collaborative Learning: An Incentivized Adaptive Data-Centric Framework0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation0
Hyperparameter Tuning Through Pessimistic Bilevel Optimization0
Exact Certification of (Graph) Neural Networks Against Label PoisoningCode0
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Benchmark Results

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