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Guided evolutionary strategies: augmenting random search with surrogate gradients
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Guided ES, which combines surrogate-gradient guidance with evolutionary-strategy search | Quadratic function with a biased gradient · Random quadratic optimization | loss suboptimality | Helped |
| Use Guided ES instead of vanilla ES | Quadratic function with a biased gradient · Random quadratic optimization | loss suboptimality | Helped |
| Use Guided ES instead of CMA-ES | Quadratic function with a biased gradient · Random quadratic optimization | loss suboptimality | Helped |
| Use Guided ES instead of vanilla ES | Unrolled optimization · Learning-rate prediction with truncated backpropagation | distance from optimal learning rate | Helped |
| Use Guided ES instead of SGD | Unrolled optimization · Learning-rate prediction with truncated backpropagation | distance from optimal learning rate | Helped |
| Use Guided ES with online synthetic-gradient guidance | Synthetic-gradient optimization · Target quadratic optimization | loss | Helped |
| Use Guided ES instead of vanilla ES | Synthetic-gradient optimization · Target quadratic optimization | loss | Helped |
Closest papers by meaning
- Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks (NeurIPS 2026 · similarity 0.88)
- EVOS: Efficient Implicit Neural Training via EVOlutionary Selector (CVPR 2025 · similarity 0.87)
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- Diffusion Models are Evolutionary Algorithms (ICLR 2025 · similarity 0.87)
- Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules (NeurIPS 2025 · similarity 0.87)
- ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning (AAAI 2025 · similarity 0.87)
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