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 351360 of 423 papers

TitleStatusHype
FairBatch: Batch Selection for Model FairnessCode1
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case0
How Robust are Randomized Smoothing based Defenses to Data Poisoning?0
Convergence and Sample Complexity of SGD in GANs0
Differentiable Neural Architecture Search in Equivalent Space with Exploration EnhancementCode0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery0
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment0
Convergence Properties of Stochastic Hypergradients0
Bilevel Continual Learning0
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
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Benchmark Results

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