 Towards Robust Learning to Optimize with Theoretical GuaranteesComputer Vision and Pattern Recognition (CVPR), 2024 |
 Learning to Warm-Start Fixed-Point Optimization AlgorithmsJournal of machine learning research (JMLR), 2023 |
 Robustified Learning for Online Optimization with Memory CostsIEEE Conference on Computer Communications (IEEE INFOCOM), 2023 |
 Hierarchical Optimization-Derived LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Learning to Optimize with Dynamic Mode DecompositionIEEE International Joint Conference on Neural Network (IJCNN), 2022 |
 Optimization-Derived Learning with Essential Convergence Analysis of
Training and Hyper-trainingInternational Conference on Machine Learning (ICML), 2022 |
 A Simple Guard for Learned OptimizersInternational Conference on Machine Learning (ICML), 2022 |
 Curvature-Aware Derivative-Free OptimizationJournal of Scientific Computing (J. Sci. Comput.), 2021 |
 A Design Space Study for LISTA and BeyondInternational Conference on Learning Representations (ICLR), 2021 |
 Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021 |
