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 171180 of 423 papers

TitleStatusHype
Non-Convex Bilevel Optimization with Time-Varying Objective Functions0
Bilevel Generative Learning for Low-Light VisionCode0
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological ImagesCode0
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios0
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso0
Accelerating Inexact HyperGradient Descent for Bilevel Optimization0
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles0
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
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Benchmark Results

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