 Towards Robust Learning to Optimize with Theoretical GuaranteesComputer Vision and Pattern Recognition (CVPR), 2024 |
 Investigation into the Training Dynamics of Learned OptimizersInternational Conference on Agents and Artificial Intelligence (ICAART), 2023 |
 Deep Model Predictive OptimizationIEEE International Conference on Robotics and Automation (ICRA), 2023 |
 Towards Constituting Mathematical Structures for Learning to OptimizeInternational Conference on Machine Learning (ICML), 2023 |
 Improving physics-informed neural networks with meta-learned
optimizationJournal of machine learning research (JMLR), 2023 |
 M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast
Self-AdaptationInternational Conference on Learning Representations (ICLR), 2023 |
 Learning to Generalize Provably in Learning to OptimizeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Mnemosyne: Learning to Train Transformers with TransformersNeural Information Processing Systems (NeurIPS), 2023 |
 Learning to Optimize in Model Predictive ControlIEEE International Conference on Robotics and Automation (ICRA), 2022 |
 Learning to Optimize with Dynamic Mode DecompositionIEEE International Joint Conference on Neural Network (IJCNN), 2022 |
 A Closer Look at Learned Optimization: Stability, Robustness, and
Inductive BiasesNeural Information Processing Systems (NeurIPS), 2022 |
 Automated Dynamic Algorithm ConfigurationJournal of Artificial Intelligence Research (JAIR), 2022 |
 Symbolic Learning to Optimize: Towards Interpretability and ScalabilityInternational Conference on Learning Representations (ICLR), 2022 |
 Optimizer AmalgamationInternational Conference on Learning Representations (ICLR), 2022 |
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 A Simple Guard for Learned OptimizersInternational Conference on Machine Learning (ICML), 2022 |
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 Bootstrapped Meta-LearningInternational Conference on Learning Representations (ICLR), 2021 |
 Learn2Hop: Learned Optimization on Rough LandscapesInternational Conference on Machine Learning (ICML), 2021 |
 Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021 |
 Training Stronger Baselines for Learning to OptimizeNeural Information Processing Systems (NeurIPS), 2020 |
