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 281290 of 423 papers

TitleStatusHype
Whiteness-based bilevel learning of regularization parameters in imaging0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics0
Will Bilevel Optimizers Benefit from Loops0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization0
Accelerating Inexact HyperGradient Descent for Bilevel Optimization0
A Challenge in Reweighting Data with Bilevel Optimization0
Achieving Linear Speedup in Non-IID Federated Bilevel Learning0
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization0
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization0
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima0
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Benchmark Results

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