Computing Higher Order Derivatives of Matrix and Tensor Expressions

Sören Laue, Matthias Mitterreiter, Joachim Giesen. Computing Higher Order Derivatives of Matrix and Tensor Expressions. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 2755-2764, 2018. [doi]

@inproceedings{LaueMG18,
  title = {Computing Higher Order Derivatives of Matrix and Tensor Expressions},
  author = {Sören Laue and Matthias Mitterreiter and Joachim Giesen},
  year = {2018},
  url = {http://papers.nips.cc/paper/7540-computing-higher-order-derivatives-of-matrix-and-tensor-expressions},
  researchr = {https://researchr.org/publication/LaueMG18},
  cites = {0},
  citedby = {0},
  pages = {2755-2764},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}