Ten new papers from the group to appear at ICML 2014 in Beijing

Ten new papers from the group are to appear in the 31st International Conference on Machine Learning (ICML 2014), to be held in Beijing, China this June. The list of papers are:

1 David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, and Bernhard Schölkopf. “Randomized Nonlinear Component Analysis.”
2 Konstantina Palla, David A. Knowles, and Zoubin Ghahramani. “A reversible infinite HMM using normalised random measures.”
3 Jose Miguel Hernández-Lobato, Neil Houlsby, and Zoubin Ghahramani. “Probabilistic Matrix Factorization with Non-random Missing Data.”
4 Neil Houlsby, Jose Miguel Hernández-Lobato, and Zoubin Ghahramani. “Cold-start Active Learning with Robust Ordinal Matrix Factorization.”
5 Jose Miguel Hernández-Lobato, Neil Houlsby and Zoubin Ghahramani. “Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices.”
6 Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin, and Zoubin Ghahramani. “Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications.”
7 Yarin Gal and Zoubin Ghahramani. “Pitfalls in the use of Parallel Inference for the Dirichlet Process.”
8 Creighton Heaukulani, David A. Knowles, and Zoubin Ghahramani. “Beta diffusion trees.”
9 Maxim Rabinovich and David M. Blei. “The Inverse Regression Topic Model.”
10 Anoop Korattikara, Yutian Chen and Max Welling. “Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget.”

Please see our group members page for links to the webpages of the authors.