Overview

Bilevel optimization models decisions in two levels: an outer problem evaluates choices using the solution of an inner problem, as in hyperparameter tuning, data selection, meta-learning, and neural architecture search. Common approaches differentiate through inner optimization using unrolling or implicit hypergradients, while single-loop stochastic, penalty-based, and derivative-free methods aim to reduce computation and handle larger or black-box problems. Applications also use the framework for decision-focused learning, reinforcement learning, and strategic settings where one agent responds to another. A central challenge is making these methods efficient and reliable when the inner problem is nonconvex or has multiple solutions, while establishing useful convergence and generalization guarantees without restrictive assumptions.

Latest papers

CardsList

88 papers12 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

  1. When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining

    May 8, 2026Ivan Karpukhin, Andrey SavchenkoSelf-Supervised Pre-TrainingAdaptive Loss Weighting

  2. Bilevel Graph Structure Learning, Revisited: Inner-Channel Origins of the Reported Gain

    May 8, 2026Minkyoung Kim, Beakcheol JangGraph Structure LearningGraph Neural Networks

  3. Constrained Triple-Head Price Optimization (C3PO) Network for Discrete-Choice Models

    May 7, 2026Shivaram Subramanian, Zhengliang Xue, Markus Ettl +2Large Language Model-Guided OptimizationDiscrete Choice Modeling

  4. One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning

    May 7, 2026Xinrui Chen, Liu Yang, Ou WuSupervised Fine-TuningLLM Fine-Tuning

  5. Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective

    Apr 24, 2026Olha Jurečková, Martin Jureček, Matouš Kozák +1Adversarial AttacksAdversarial Robustness

  6. On the Stability and Generalization of First-order Bilevel Minimax Optimization

    Apr 22, 2026Xuelin Zhang, Peipei YuanMin-Max OptimizationBilevel Optimization

  7. Bilevel Optimization of Agent Skills via Monte Carlo Tree Search

    Apr 17, 2026Chenyi Huang, Haoting Zhang, Jingxu Xu +2Large Language Model-Guided OptimizationLLM Agent Skill Learning

  8. Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem

    Apr 14, 2026Yinghao Qin, Mosab Bazargani, Edmund K. Burke +3Vehicle RoutingBilevel Optimization

  9. Differentiable Environment-Trajectory Co-Optimization for Safe Multi-Agent Navigation

    Apr 8, 2026Zhan Gao, Gabriele Fadini, Stelian Coros +1Robot NavigationSafe Robot Navigation

  10. Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization

    Apr 5, 2026Xuelin Zhang, Hong Chen, Bin Gu +2Stochastic Bilevel OptimizationBilevel Optimization

  11. Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation

    Apr 3, 2026Marc Ong, Youhei AkimotoBilevel OptimizationBlack-Box Optimization

  12. Efficient Bilevel Optimization with KFAC-Based Hypergradients

    Mar 31, 2026Disen Liao, Felix Dangel, Yaoliang YuKronecker-Factored ApproximationBilevel Optimization

  13. Strategic Infrastructure Design via Multi-Agent Congestion Games with Joint Placement and Pricing

    Mar 23, 2026Niloofar Aminikalibar, Farzaneh Farhadi, Maria ChliCongestion GamesMulti-Agent System Optimization

  14. Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization

    Mar 16, 2026Yanning Dai, Yuhui Wang, Dylan R. Ashley +1Robot Morphology-Control Co-DesignBilevel Optimization

  15. Bi-level RL-Heuristic Optimization for Real-world Winter Road Maintenance

    Feb 27, 2026Yue Xie, Zizhen Xu, William Beazley +1Vehicle RoutingBilevel Optimization

  16. On the Convergence of Single-Loop Stochastic Bilevel Optimization with Approximate Implicit Differentiation

    Feb 27, 2026Yubo Zhou, Luo Luo, Guang Dai +1Stochastic Bilevel OptimizationImplicit Differentiation

  17. Less is More: Convergence Benefits of Fewer Data Weight Updates over Longer Horizon

    Feb 23, 2026Rudrajit Das, Neel Patel, Meisam Razaviyayn +1Data Mixture OptimizationBilevel Optimization

  18. Understanding the Generalization of Bilevel Programming in Hyperparameter Optimization: A Tale of Bias-Variance Decomposition

    Feb 20, 2026Yubo Zhou, Jun Shu, Junmin Liu +1Hypergradient OptimizationHyperparameter Optimization

  19. Non-Stationary Functional Bilevel Optimization

    Jan 21, 2026Jason Bohne, Ieva Petrulionyte, Michael Arbel +2Bilevel OptimizationHyperparameter Optimization

  20. OFMU: Optimization-Driven Framework for Machine Unlearning

    Sep 26, 2025Sadia Asif, Mohammad Mohammadi AmiriBilevel OptimizationMachine Unlearning

  21. A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization

    May 2, 2025Tianshu Chu, Dachuan Xu, Wei Yao +2Stochastic Bilevel OptimizationBilevel Optimization