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 1–50 of 423 papers

TitleStatusHype
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection VectorsCode0
Restarted contractive operators to learn at equilibrium—0
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates—0
Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games—0
Unit Commitment with Cost-Oriented Temporal Resolution—0
MISLEADER: Defending against Model Extraction with Ensembles of Distilled ModelsCode0
Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization—0
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images—0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
Persistently Exciting Online Feedback Optimization Controller with Minimal Perturbations—0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Sequential QCQP for Bilevel Optimization with Line Search—0
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language ModelsCode0
Bi-Level Policy Optimization with Nyström Hypergradients—0
A stochastic gradient method for trilevel optimization—0
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization—0
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance—0
On The Sample Complexity Bounds In Bilevel Reinforcement Learning—0
Learn to Bid as a Price-Maker Wind Power Producer—0
Optimizing Decomposition for Optimal Claim VerificationCode0
Exergy Battery Modeling and P2P Trading Based Optimal Operation of Virtual Energy Station—0
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness—0
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints—0
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry—0
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction—0
PRDP: Progressively Refined Differentiable PhysicsCode0
Adversarial Training for Defense Against Label Poisoning AttacksCode0
Learning Theory for Kernel Bilevel Optimization—0
LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy ControlCode1
A First-order Generative Bilevel Optimization Framework for Diffusion Models—0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training—0
BILBO: BILevel Bayesian OptimizationCode0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
qNBO: quasi-Newton Meets Bilevel Optimization—0
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets—0
Safe Gradient Flow for Bilevel OptimizationCode0
Evaluating Data Influence in Meta Learning—0
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 Features—0
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Bayesian Optimization of Bilevel Problems—0
Learning sparsity-promoting regularizers for linear inverse problems—0
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 Framework—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Hyperparameter Tuning Through Pessimistic Bilevel Optimization—0
Exact Certification of (Graph) Neural Networks Against Label PoisoningCode0
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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