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 101110 of 423 papers

TitleStatusHype
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation0
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence TruncationCode0
Contextual Bilevel Reinforcement Learning for Incentive AlignmentCode0
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity0
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity0
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees0
Efficient Prior Calibration From Indirect Data0
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
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Benchmark Results

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