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You are here: Cambridge Machine Learning Group / News / Three recent papers from MLG

Three recent papers from MLG

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11 May 2017 / Comments Off / in News/by admin

We wish to highlight three recent papers led by members from the group. The text can be found on the authors’ personal pages.

Mark Rowland, Aldo Pacchiano and Adrian Weller.
Conditions beyond treewidth for tightness of higher-order LP relaxations
International Conference on Artificial Intelligence and Statistics (AISTATS) 2017

Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani and James Hensman.
GPflow: A Gaussian process library using TensorFlow
Journal of Machine Learning Ressearch (JMLR) 2017

Alexandre Navarro, Jes Frellsen and Richard Turner
The Multivariate Generalised von Mises distribution: Inference and Applications
Conference of the Association for Advancement of Artificial Intelligence (AAAI) 2017

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