Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks

Minhyung Cho, Chandra Shekhar Dhir, Jaehyung Lee. Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks. In Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett, editors, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. pages 883-891, 2015. [doi]

@inproceedings{ChoDL15,
  title = {Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks},
  author = {Minhyung Cho and Chandra Shekhar Dhir and Jaehyung Lee},
  year = {2015},
  url = {http://papers.nips.cc/paper/5664-hessian-free-optimization-for-learning-deep-multidimensional-recurrent-neural-networks},
  researchr = {https://researchr.org/publication/ChoDL15},
  cites = {0},
  citedby = {0},
  pages = {883-891},
  booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada},
  editor = {Corinna Cortes and Neil D. Lawrence and Daniel D. Lee and Masashi Sugiyama and Roman Garnett},
}