Research map / Optimization / Optimizers
Learning to Learn without Gradient Descent by Gradient Descent
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Closest papers by meaning
- Reverse engineering learned optimizers reveals known and novel mechanisms (NeurIPS 2021 · similarity 0.89)
- Learning to Learn by Zeroth-Order Oracle (ICLR 2020 · similarity 0.88)
- Learned Optimizers that Scale and Generalize (ICML 2017 · similarity 0.88)
- Learning Provably Improves the Convergence of Gradient Descent (NeurIPS 2025 · similarity 0.87)
- Investigation into Training Dynamics of Learned Optimizers (Student Abstract) (AAAI 2024 · similarity 0.87)
- Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context (ICML 2024 · similarity 0.86)
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