papers
Publications (3)
stat.ML2013
Consistency of Online Random Forests
Misha Denil, David Matheson, Nando de Freitas
As a testament to their success, the theory of random forests has long been outpaced by their application in practice. In this paper, we take a step towards narrowing this gap by p…
stat.ML2013
Narrowing the Gap: Random Forests In Theory and In Practice
Misha Denil, David Matheson, Nando de Freitas
Despite widespread interest and practical use, the theoretical properties of random forests are still not well understood. In this paper we contribute to this understanding in two…
stat.ML2016
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Ziyu Wang, Frank Hutter, Masrour Zoghi +2
Bayesian optimization techniques have been successfully applied to robotics, planning, sensor placement, recommendation, advertising, intelligent user interfaces and automatic algo…