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 111120 of 423 papers

TitleStatusHype
Efficient and Effective Implicit Dynamic Graph Neural NetworkCode0
Amortized Implicit Differentiation for Stochastic Bilevel OptimizationCode0
Efficient Cross-Modal Video Retrieval with Meta-Optimized FramesCode0
Bilevel Generative Learning for Low-Light VisionCode0
Discriminatively Learned Hierarchical Rank Pooling NetworksCode0
Decentralized Hyper-Gradient Computation over Time-Varying Directed NetworksCode0
Convex and Bilevel Optimization for Neuro-Symbolic Inference and LearningCode0
Preference-Optimized Pareto Set Learning for Blackbox OptimizationCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
BILBO: BILevel Bayesian OptimizationCode0
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Benchmark Results

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