Bilevel Optimization

PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback ICLR 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NeurIPS 2024 Asynchronous Distributed Bilevel Optimization ICLR 2023 Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond IJCAI 2023 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Outlier Robust Adversarial Training ACML 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 A framework for bilevel optimization that enables stochastic and global variance reduction algorithms NeurIPS 2022 Amortized Implicit Differentiation for Stochastic Bilevel Optimization ICLR 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 Learning Synthetic Environments and Reward Networks for Reinforcement Learning ICLR 2022 Non-Convex Bilevel Games with Critical Point Selection Maps NeurIPS 2022 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021 Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions ICLR 2019 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013