srossi93 / vardl

[mirror] Variational deep learning

Variational Deep Learning

With this package we intend to offer a simple ready-to-use and extensible library for variational deep learning.

Please, keep in mind that everything is pretty much a work-in-progress. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Cite us

Please, if you are using or intent to use part of this library, consider to cite our works.

Good Initialization of Variational Bayes for Deep Models (Rossi et al., 2019)

@InProceedings{Rossi2019a,
  title = 	 {{Good Initializations of Variational {B}ayes for Deep Models}},
  author = 	 {Rossi, Simone and Michiardi, Pietro and Filippone, Maurizio},
  booktitle = 	 {Proceedings of the 36th International Conference on Machine Learning},
  pages = 	 {5487--5497},
  year = 	 {2019},
  editor = 	 {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  volume = 	 {97},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {Long Beach, California, USA},
  month = 	 {09--15 Jun},
  publisher = 	 {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v97/rossi19a/rossi19a.pdf},
  url = 	 {http://proceedings.mlr.press/v97/rossi19a.html},
}

Walsh-Hadamard Variational Inference for Bayesian Deep Learning (Rossi et al., 2019)

@InProceedings{Rossi2019b,
  title = 	 {{Walsh-Hadamard Variational Inference for Bayesian Deep Learning}},
  author = 	 {Rossi, Simone and Marmin, Sebastien and Filippone, Maurizio},
  booktitle = 	 {arXiv: 1905.11248},
  year = 	 {2019},
}

Random Feature Expansions for Deep Gaussian Processes (Cutajar et al., 2017)

@InProceedings{Cutajar2017a,
  title = 	 {{Random Feature Expansions for Deep {G}aussian Processes}},
  author = 	 {Kurt Cutajar and Edwin V. Bonilla and Pietro Michiardi and Maurizio Filippone},
  booktitle = 	 {Proceedings of the 34th International Conference on Machine Learning},
  pages = 	 {884--893},
  year = 	 {2017},
  editor = 	 {Doina Precup and Yee Whye Teh},
  volume = 	 {70},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {International Convention Centre, Sydney, Australia},
  month = 	 {06--11 Aug},
  publisher = 	 {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v70/cutajar17a/cutajar17a.pdf},
  url = 	 {http://proceedings.mlr.press/v70/cutajar17a.html},
}