All group members will engage in collaborations with members of other groups at Oxford and elsewhere to tackle interesting algorithmic problems arising in a plethora of applications.

Selected Publications

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• Bayesian Multi−Scale Optimistic Optimization

  Ziyu Wang‚ Babak Shakibi‚ Lin Jin and Nando de Freitas

  In Artificial Intelligence and Statistics (AISTATS). Pages 1005−1014. 2014.

  Details about Bayesian Multi−Scale Optimistic Optimization | BibTeX data for Bayesian Multi−Scale Optimistic Optimization | Download (pdf) of Bayesian Multi−Scale Optimistic Optimization

• An Introduction to MCMC for Machine Learning

  Christophe Andrieu‚ Nando de Freitas‚ Arnaud Doucet and Michael I. Jordan

  In Machine Learning. Vol. 50. No. 1−2. Pages 5−43. 2003.

  Details about An Introduction to MCMC for Machine Learning | BibTeX data for An Introduction to MCMC for Machine Learning | DOI (10.1023/A:1020281327116) | Link to An Introduction to MCMC for Machine Learning

• Linear and Parallel Learning for Markov Random Fields

  Yariv Dror Mizrahi‚ Misha Denil and Nando de Freitas

  In International Conference on Machine Learning (ICML). 2014.

  Details about Linear and Parallel Learning for Markov Random Fields | BibTeX data for Linear and Parallel Learning for Markov Random Fields | Download (pdf) of Linear and Parallel Learning for Markov Random Fields