Algorithms At Large: Publications

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@inproceedings{Wang:2014,
  title = "Bayesian Multi-Scale Optimistic Optimization",
  author = "Ziyu Wang and Babak Shakibi and Lin Jin and Nando de Freitas",
  year = "2014",
  booktitle = "Artificial Intelligence and Statistics (AISTATS)",
  pages = "1005-1014",
  url = "http://jmlr.org/proceedings/papers/v33/wang14d.pdf",
}

@inproceedings{Mizrahi:2014,
  title = "Linear and Parallel Learning for Markov Random Fields",
  author = "Yariv Dror Mizrahi and Misha Denil and Nando de Freitas",
  year = "2014",
  booktitle = "International Conference on Machine Learning (ICML)",
  url = "http://www.cs.ox.ac.uk/people/nando.defreitas/publications/LAP.pdf",
}

@inproceedings{Bornn:2013,
  title = "Herded Gibbs Sampling",
  author = "Luke Bornn and Yutian Chen and Nando de Freitas and Mareija Eskelin and Jing Fang and Max Welling",
  year = "2013",
  booktitle = "International Conference on Learning Representations (ICLR)",
  url = "http://openreview.net/document/a7ca8bba-732c-4104-83a3-1956c3b5c3a6",
}

@inproceedings{Denil:2013b,
  title = "Consistency of Online Random Forests",
  author = "Misha Denil and David Matheson and Nando de Freitas",
  year = "2013",
  booktitle = "International Conference on Machine Learning (ICML)",
  note = "JMLR W\&CP 28 (3): 1256–1264, 2013",
  pages = "1256–-1264",
  url = "http://jmlr.org/proceedings/papers/v28/denil13.pdf",
}

@inproceedings{deFreitas:2013,
  title = "Exponential Regret Bounds for {Gaussian} Process Bandits with Deterministic Observations",
  author = "Nando de Freitas and Alex Smola and Masrour Zoghi",
  year = "2012",
  booktitle = "International Conference on Machine Learning (ICML)",
  url = "http://icml.cc/discuss/2012/853.html",
}

@article{Andrieu:2003
year={2003},
  title = "An Introduction to {MCMC} for Machine Learning",
  author = "Andrieu, Christophe and de Freitas, Nando and Doucet, Arnaud and Jordan, Michael I.",
  year = "2003",
  issn = "0885-6125",
  journal = "Machine Learning",
  number = "1-2",
  pages = "5-43",
  publisher = "Kluwer Academic Publishers",
  url = "http://dx.doi.org/10.1023/A%3A1020281327116",
  volume = "50",
  doi = "10.1023/A:1020281327116",
}