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 221230 of 423 papers

TitleStatusHype
Differentiable Instruction Optimization for Cross-Task GeneralizationCode0
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization0
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition0
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient EstimationCode0
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization0
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel OptimizationCode0
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning0
Robust Ante-hoc Graph Explainer using Bilevel Optimization0
One-step differentiation of iterative algorithms0
Effective Bilevel Optimization via Minimax Reformulation0
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Benchmark Results

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