bilevel optimization

Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NeurIPS 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023 Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning NeurIPS 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples NeurIPS 2023 Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies AAAI 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023 SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization NeurIPS 2023 Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective NeurIPS 2023 Task-aware world model learning with meta weighting via bi-level optimization NeurIPS 2023 Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning AAAI 2023 Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023 Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023 Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings NeurIPS 2023 Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features RSS 2023 Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 When to Learn What: Model-Adaptive Data Augmentation Curriculum ICCV 2023 Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization NeurIPS 2023 AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks CVPR 2022 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 A framework for bilevel optimization that enables stochastic and global variance reduction algorithms NeurIPS 2022