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 391400 of 423 papers

TitleStatusHype
Preference-Optimized Pareto Set Learning for Blackbox OptimizationCode0
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural NetworksCode0
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence TruncationCode0
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy LabelsCode0
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient MethodsCode0
Saliency-Augmented Memory Completion for Continual LearningCode0
Targeted Data-driven Regularization for Out-of-Distribution GeneralizationCode0
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspaceCode0
Bilevel Learning with Inexact Stochastic GradientsCode0
Deep Bilevel LearningCode0
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Benchmark Results

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