Search results
Zoubin Ghahramani is a world leader in machine learning, which makes significant progress in algorithms that can learn from data. In particular, it is known for its fundamental contributions in probabilistic modeling and bayesian nonparametric approaches to machine learning systems and the development of approximate algorithms for scalable ...
Feb 23, 2020 · The 2009 Machine Learning Summer School was held in Cambridge on August 29th – September 10th. Machine Learning Reading Group @ CUED. Machine Learning Seminar Group. Advanced Tutorial Lecture Series on Machine Learning. Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008)
Mar 8, 2017 · View a PDF of the paper titled Deep Bayesian Active Learning with Image Data, by Yarin Gal and Riashat Islam and Zoubin Ghahramani View PDF Abstract: Even though active learning forms an important pillar of machine learning, deep learning tools are not prevalent within it.
Mar 14, 2017 · Zoubin joined Uber through the acquisition of Geometric Intelligence and it has become clear that Zoubin is a natural for the Chief Scientist role. Zoubin is among the most influential AI/ML researchers in the world. He is a Professor of Information Engineering at the University of Cambridge, where he leads a group of about 30 researchers.
New papers are available at the Machine Learning Group Publication Website. A more comprehensive list of my papers can be found on my CV . Heller, K.A., Williamson, S., and Ghahramani, Z. (2008) Statistical models for partial membership. Proceedings of the 25th International Conference on Machine Learning (ICML-2008).
(Zhang, Ghahramani & Yang, 2005) ⇒ J. Zhang, Zoubin Ghahramani, and Y. Yang. . “Learning Multiple Related Tasks using Latent Independent Component Analysis.” In: Advances in Neural Information Processing Systems, 18 . 2004 (Ghahramani, 2004) ⇒ Zoubin Ghahramani. . “Bayesian Methods in Machine Learning." Seminar Talk, Oct 18 2004 at ...
%0 Conference Paper %T Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning %A Yarin Gal %A Zoubin Ghahramani %B Proceedings of The 33rd International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2016 %E Maria Florina Balcan %E Kilian Q. Weinberger %F pmlr-v48-gal16 %I PMLR %P 1050--1059 %U https://proceedings.mlr.press/v48/gal16 ...
