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Understanding and correcting pathologies in the training of learned optimizers.

, , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4556-4565. PMLR, (2019)

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Understanding and correcting pathologies in the training of learned optimizers., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4556-4565. PMLR, (2019)The large learning rate phase of deep learning: the catapult mechanism, , , , and . arXiv preprint arXiv:2003.02218, (2020)Measuring the Effects of Data Parallelism on Neural Network Training., , , , , and . J. Mach. Learn. Res., (2019)Exact posterior distributions of wide Bayesian neural networks., , , , and . CoRR, (2020)Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible., , , , and . CoRR, (2020)A new method for parameter estimation in probabilistic models: Minimum probability flow., , and . CoRR, (2020)Neural reparameterization improves structural optimization., , and . CoRR, (2019)VeLO: Training Versatile Learned Optimizers by Scaling Up., , , , , , , , , and 1 other author(s). CoRR, (2022)Towards NNGP-guided Neural Architecture Search., , , , and . CoRR, (2020)Unrolled Generative Adversarial Networks., , , and . ICLR (Poster), OpenReview.net, (2017)