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 311320 of 423 papers

TitleStatusHype
Programmatic Reinforcement Learning without Oracles0
Learning Sample Reweighting for Adversarial Robustness0
Delve into the Performance Degradation of Differentiable Architecture Search0
Data Summarization via Bilevel Optimization0
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGDCode0
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
Integrating process design and control using reinforcement learning0
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis0
Enhanced Bilevel Optimization via Bregman Distance0
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems0
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Benchmark Results

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