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 226–250 of 423 papers

TitleStatusHype
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling—0
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost—0
qNBO: quasi-Newton Meets Bilevel Optimization—0
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization—0
RARTS: An Efficient First-Order Relaxed Architecture Search Method—0
REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback—0
Recognizing Predictive Substructures with Subgraph Information Bottleneck—0
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation—0
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters—0
Restarted contractive operators to learn at equilibrium—0
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning—0
Riemannian Bilevel Optimization—0
Robust Ante-hoc Graph Explainer using Bilevel Optimization—0
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization—0
Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization—0
Rooftop and Community Solar Adoption with Income Heterogeneity—0
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation—0
SAIL: Self-Improving Efficient Online Alignment of Large Language Models—0
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization—0
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting—0
Selective classification using a robust meta-learning approach—0
Self-Interested Agents in Collaborative Learning: An Incentivized Adaptive Data-Centric Framework—0
Sequential QCQP for Bilevel Optimization with Line Search—0
Set-based Meta-Interpolation for Few-Task Meta-Learning—0
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning—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