Langevin Algorithms for Markovian Neural Networks and Deep Stochastic Control

Author:

Bras Pierre1,Pagès Gilles1

Affiliation:

1. Statistique et Modélisation, Sorbonne Université,Laboratoire de Probabilités,Paris,France

Publisher

IEEE

Reference32 articles.

1. Understanding the difficulty of training deep feedforward neural networks;glorot;Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics,2010

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3. Identifying and Attacking the Saddle Point Problem in High-Dimensional Non-Convex Optimization;dauphin;Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2,2014

4. Can overexploited fisheries recover by self-organization? Reallocation of fishing effort as an emergent form of governance

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