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 101110 of 423 papers

TitleStatusHype
Enhancing Hypergradients Estimation: A Study of Preconditioning and ReparameterizationCode0
Bilevel Learning with Inexact Stochastic GradientsCode0
Adversarial Training for Defense Against Label Poisoning AttacksCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
CoBo: Collaborative Learning via Bilevel OptimizationCode0
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer DistanceCode0
Amortized Implicit Differentiation for Stochastic Bilevel OptimizationCode0
Efficient and Effective Implicit Dynamic Graph Neural NetworkCode0
Min-Max Bilevel Multi-objective Optimization with Applications in Machine LearningCode0
Bilevel Generative Learning for Low-Light VisionCode0
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Benchmark Results

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