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credit_assignment [2018/01/23 18:55] admin |
credit_assignment [2019/02/04 18:02] admin |
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| This paper explores an unconventional training method that uses alternating direction methods and Bregman iteration to train networks without gradient descent steps. | This paper explores an unconventional training method that uses alternating direction methods and Bregman iteration to train networks without gradient descent steps. | ||
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| + | https://arxiv.org/pdf/1802.05642v1.pdf The Mechanics of n-Player Differentiable Games | ||
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| + | http://www.jmlr.org/papers/volume18/17-653/17-653.pdf Maximum Principle Based Algorithms for Deep Learning | ||
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| + | https://github.com/facebookresearch/nevergrad | ||
