Bilevel Optimization
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Benchmarks
Most implemented
Adaptive Personalized Federated Learning
OptNet: Differentiable Optimization as a Layer in Neural Networks
Nystrom Method for Accurate and Scalable Implicit Differentiation
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Second-Order Sensitivity Analysis for Bilevel Optimization
Papers
Optimal Stochastic Bilevel Optimization with First-Order Oracles
We study nonconvex--strongly-convex bilevel optimization under a stochastic first-order oracle. We introduce MRT-FD, a single-loop first-order method that simultaneously tracks the upper-level variable, the lower-level s…
Bilevel OptimizationDisciplined Bilevel Programming
Bilevel optimization provides a natural modeling language for hierarchical decision problems. However, applying existing numerical solvers usually requires substantial manual analysis and reformulation. In this paper, we…
Bilevel OptimizationSGHA: A Single-Loop Fully First-Order Algorithm for Nonconvex-Strongly-Convex Bilevel Optimization
In this work, we study the oracle complexity of finding an $ε$-stationary point for nonconvex-strongly-convex (NC-SC) bilevel optimization using only first-order oracles. Existing methods achieving the best-known complex…
Bilevel OptimizationDesigning Compact Neural Architectures via Neuron Gating and Mixed Activation
Neural Architecture Search (NAS) is naturally formulated as a bilevel optimization problem, where the upper-level optimizes the architecture using validation performance and the lower-level trains network parameters usin…
Neural Architecture SearchBilevel OptimizationFrom Local Mismatch to Global Impact: Optimizing Cache Reuse Policy for Efficient Diffusion
Diffusion models have achieved dominant performance in visual generation but suffer from substantial inference overhead. While cache-based acceleration has emerged as a promising solution, existing policies rely on local…
Bilevel OptimizationImage GenerationEfficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level
Multi-objective bilevel optimization has wide applications in the AI area such as automated learning and multi-task meta-learning. Although recently some works have been begun to study the multi-objective bilevel optimiz…
Neural Architecture SearchBilevel Optimization