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 201–225 of 423 papers

TitleStatusHype
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost—0
On the Global Optimality of Model-Agnostic Meta-Learning—0
On the Iteration Complexity of Hypergradient Computations—0
On The Sample Complexity Bounds In Bilevel Reinforcement Learning—0
On Weight-Sharing and Bilevel Optimization in Architecture Search—0
Operational and Economy-Wide Impacts of Compound Cyberattacks and Extreme Weather Events on Electric Power Networks—0
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions—0
Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions—0
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization—0
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets—0
PANOM: Automatic Hyper-parameter Tuning for Inverse Problems—0
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing—0
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization—0
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints—0
Persistently Exciting Online Feedback Optimization Controller with Minimal Perturbations—0
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information—0
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning—0
Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF—0
Probabilistic Bilevel Coreset Selection—0
Programmatic Reinforcement Learning without Oracles—0
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry—0
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem—0
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-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