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 2130 of 423 papers

TitleStatusHype
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
FairBatch: Batch Selection for Model FairnessCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
Bilevel Continual LearningCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Show:102550
← PrevPage 3 of 43Next →

Benchmark Results

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