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

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Showing 201–250 of 423 papers

TitleStatusHype
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization—0
Detecting Shared Data Manipulation in Distributed Optimization Algorithms—0
PETA: Parameter-Efficient Trojan Attacks—0
Towards Poisoning Fair Representations—0
Bregman Graph Neural NetworkCode0
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation—0
Federated Neuro-Symbolic Learning—0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem—0
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems—0
Non-Convex Bilevel Optimization with Time-Varying Objective Functions—0
Bilevel Generative Learning for Low-Light VisionCode0
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback—0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological ImagesCode0
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios—0
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso—0
Accelerating Inexact HyperGradient Descent for Bilevel Optimization—0
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles—0
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions—0
Differentiable Instruction Optimization for Cross-Task GeneralizationCode0
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization—0
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition—0
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient EstimationCode0
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization—0
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel OptimizationCode0
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning—0
Robust Ante-hoc Graph Explainer using Bilevel Optimization—0
One-step differentiation of iterative algorithms—0
Effective Bilevel Optimization via Minimax Reformulation—0
Balancing Test Accuracy and Security in Computerized Adaptive TestingCode0
Scalable Bilevel Optimization for Generating Maximally Representative OPF DatasetsCode0
Cooperative Lane Changing in Mixed Traffic can be Robust to Human Driver Behavior—0
Gradient scarcity with Bilevel Optimization for Graph LearningCode0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning—0
Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization—0
A hybrid deep-learning-metaheuristic framework for bi-level network design problemsCode0
On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level—0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization—0
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems—0
Achieving Linear Speedup in Non-IID Federated Bilevel Learning—0
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation—0
Efficient Gradient Approximation Method for Constrained Bilevel Optimization—0
A Fully First-Order Method for Stochastic Bilevel Optimization—0
Probabilistic Bilevel Coreset Selection—0
Valuing Distributed Energy Resources for Non-Wires Alternatives—0
Analyzing Inexact Hypergradients for Bilevel Learning—0
Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach—0
First-order penalty methods for bilevel optimization—0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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