learned optimizer

Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024 Universal Neural Functionals NeurIPS 2024 Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single ICML 2023 A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases NeurIPS 2022 A Simple Guard for Learned Optimizers ICML 2022 Reverse engineering learned optimizers reveals known and novel mechanisms NeurIPS 2021 Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies ICML 2021 Learning to Learn by Zeroth-Order Oracle ICLR 2020 HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019 Understanding and correcting pathologies in the training of learned optimizers ICML 2019 Learned Optimizers that Scale and Generalize ICML 2017