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Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers.

, , , , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 142-164. PMLR, (2022)

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Parallel Training of Deep Networks with Local Updates., , , , , , , and . CoRR, (2020)Using learned optimizers to make models robust to input noise., , , , and . CoRR, (2019)Noise-Reuse in Online Evolution Strategies., , , , and . CoRR, (2023)Learning to Learn Without Labels., , , and . ICLR (Workshop), OpenReview.net, (2018)Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract)., , and . IJCAI, page 5354-5358. ijcai.org, (2022)Towards GAN Benchmarks Which Require Generalization., , and . ICLR (Poster), OpenReview.net, (2019)A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases., , and . NeurIPS, (2022)Discovered Policy Optimisation., , , , , and . NeurIPS, (2022)Reverse engineering learned optimizers reveals known and novel mechanisms., , , , and . NeurIPS, page 19910-19922. (2021)Learn2Hop: Learned Optimization on Rough Landscapes., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7643-7653. PMLR, (2021)