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 5160 of 423 papers

TitleStatusHype
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization0
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning0
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization0
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks0
Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement Learning0
Fully First-Order Methods for Decentralized Bilevel Optimization0
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization0
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications0
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Benchmark Results

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