Algorithms At Large
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.
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.
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.
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.