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 201210 of 423 papers

TitleStatusHype
Fully First-Order Methods for Decentralized Bilevel Optimization0
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training0
A Fully First-Order Method for Stochastic Bilevel Optimization0
First-order penalty methods for bilevel optimization0
First-Order Methods for Linearly Constrained Bilevel Optimization0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization0
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization0
PETA: Parameter-Efficient Trojan Attacks0
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Benchmark Results

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