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 211220 of 423 papers

TitleStatusHype
PANOM: Automatic Hyper-parameter Tuning for Inverse Problems0
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing0
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization0
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints0
Persistently Exciting Online Feedback Optimization Controller with Minimal Perturbations0
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information0
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning0
Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization0
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF0
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Benchmark Results

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