Zoubin Ghahramani acknowledges support from the Alan Turing Institute (EPSRC Grant EP/N510129/1) and EPSRC Grant EP/N014162/1, and donations from Google and Microsoft Research. [8] Semantic parsing as machine translation. UAI 2015. 3 0 obj Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Nonparametrics, Video Novi Quadrianto and Zoubin Ghahramani. Host: Ecole Centrale Paris, DIOCLES. 924{931, 2010. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. Nonparametric Bayesian Methods. Neural network image classifiers are known to be vulnerable to adversarial images, i.e., natural images which have been modified by an adversarial perturbation specifically designed to be imperceptible to humans yet fool the classifier. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Zoubin Ghahramani Department of Engineering University of Cambridge Daniel M. Roy Department of Statistical Sciences University of Toronto Abstract Neural network image classifiers are known to be vulnerable to adversarial images, i.e., natural images which have been modified by an adversarial perturbation specif- Heller, and Z. Ghahramani. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. From early 2003 to July 2004 I was a Postdoc with Radford Neal in the Machine Learning Group in the Computer Science department at the University of Toronto. stream endobj His final year project was supervised by Prof Zoubin Ghahramani. 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The principal supervisors are Zoubin Ghahramani, Carl Rasmussen, Neil Lawrence, Richard Turner, Jose Miguel Hernandez-Lobato and Adrian Weller at Cambridge University, and Bernhard Schoelkopf and other research group leaders at the Max Planck Institute in Tübingen. A Very Simple Safe-Bayesian Random Forest. 2017. /Length 1950 In Neural Information Processing Systems (NIPS), 2008. Efficient and flexible variational inference algorithms Postdoctoral Researcher. %���� Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Bayesian deep learning • deep learning • approximate Bayesian inference • Gaussian processes • Bayesian modelling • Bayesian non-parametrics • scal- able MCMC • generative modelling; Applications including AI safety • ML interpretability • reinforcement learning • active learning • natural language processing• computervision• medicalanalysis. Apply to. 2017. Max Planck Institute for Intelligent Systems, Germany. CGPA: 3.93. and the Information Revolution, Bayesian Hidden Markov Models CV; I’m a PhD student at the Computational and Biological Learning Lab, University of Cambridge, supervised by José Miguel Hernández-Lobato and Zoubin Ghahramani. CV is available Here Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). functions” originally published in 2003 by Xiaojin Zhu, Zoubin Ghahramani and John Lafferty, International Conference on Machine Learning (ICML), 2012 Best Paper on Knowledge Discovery, “Socioscope: Spatio-Temporal Signal Recov-ery from Social Media” by Jun-Ming Xu, … Supervisors: Zoubin Ghahramani (on leave), José Miguel Hernández-Lobato Fall 2018 to Present Research Scientist DeepMind (one day per week) February 2019 to Present Research Scientist Intern DeepMind Supervisor: Balaji Lakshminarayanan Summer … Efficient and flexible variational inference algorithms Postdoctoral Researcher. and Extensions, A Brief Overview of Nonparametric BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. Palma: Interested in a PhD in Machine Learning? Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK H�6�w0��50�}��͑ ��4ld)���[��g��j��RX��$�yQ�-�bl| Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. Statistical models for partial membership. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Applications should be emailed to yg279 -at- cam.ac.uk with … Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley Journal of Machine Learning Research. GPStruct: Bayesian Structured Prediction using Gaussian Processes. Advised by Prof. Bernhard Schoelkopf. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial >> Adams — Vita ¦ ¤ ¥ ¤ Best Paper, ¥ §th International Conference on Artificial Intelligence and Statistics(with Hanna Wallach & Zoubin Ghahramani) ¦ ¤ ¥ ¤ Honorable Mention, International Society for Bayesian Analysis Leonard J. 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Submit an extended abstract, and send a current CV, ISBA membership status, and a brief (few sentences) description of your research as it relates to the theme of the workshop by 7 October 2016. {P���\�PrQ��꽕R����U"@c�kIQ��͇.���m�d�U:�����;����)������l�[5D8���(����U��뺬t��j)���KY�L�V��g����q�"�]�����u�`w�ōC�Hx�S�!^��M��ϴC�`�L`5m h���#쓕*��rP�yc&aY�75�:[�v�������4���\�k&�� Jo ��,�e�+gj���N1Iؚ�B"�#ע�,��x>r�w��"�{V�SV0,N)����T��������/%25#7-������1�!�b�(Sz+77J${Q8ģ����0o ���P��aefܖi�Cm�\f���{�? - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Bayesian Models. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. Academic History McGill University PhD in Computer Science School of Computer Science Field of Interest : Machine Learning, Artificial Intelligence Reasoning and Learning Lab Supervisor(s) : Prof. Doina Precup and Prof. Joelle Pineau University of Cambridge Masters : MPhil Machine Learning, Speech and Language Technology Department of Engineering Computational and Biological Learning Lab… All positions will involve research in collaboration with Zoubin Ghahramani, Carl Rasmussen, Richard Turner, Hong Ge and other members of the group ... (CV), including a list of your publications, and a covering letter in the Upload section of the online application. R.P. Jacob Andreas, Andreas Vlachos and Stephen Clark. Spotlight Pre- 1297-1303, 2015. Dependent Indian bu et processes. probabilistic modelling and Bayesian inference. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Supervisors: Zoubin Ghahramani (on leave), José Miguel Hernández-Lobato Fall 2018 to Present Research Scientist DeepMind (one day per week) February 2019 to Present Research Scientist Intern DeepMind Supervisor: Balaji Lakshminarayanan Summer … ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ << Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( 14 0 obj Journal of Machine Learning Research. Cambridge University, IEEE Transactions on • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. x��X]s۶}���Lg�3K�?���J*ǖu-%�N�Z�e�K*?����w )Jf7��I .�gϞ]����Ƿ4p2?�i�~' �P�6�o�D��D�*��W�?�M{o��OX�f�7 Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Isabel Valera Curriculum Vitae 16cm0.5mm – Author: Isabel Valera Curriculum Vitae 16cm0.5mm Subject: Resumé of Isabel Valera Curriculum Vitae 16cm0.5mm Keywords: Isabel Valera Curriculum Vitae 16cm0.5mm , curriculum vitæ, resumé Created Date: 10/1/2019 4:03:38 PM [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. UAI 2015. CV and Bio. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on Highest Rank 1st of 264 students (2010 Winter). 2018: Variational Bayesian dropout: pitfalls and fixes. Dependent Indian bu et processes. Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. NIPS 2009 Workshop on S. Mohamed, K.A. Kronecker graphs: an approach to modeling networks. Approaches to Learning and Discovery, Spring 2002, Pedro A. Ortega is a Research Scientist at DeepMind. Journal of Machine Learning Research, 2010. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. %PDF-1.5 I am a PhD Candidate in Engineering (Probabilistic Machine Learning) at the University of Cambridge, working under the supervision of prof. Zoubin Ghahramani.I am also part-time affiliated to Secondmind (formerly PROWLER.io), where I fulfil the role of senior machine learning researcher.. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Jacob Andreas and Zoubin Ghahramani. 924{931, 2010. endstream y. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. �W�ۺfgZ݃N-. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter stream ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. R.P. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), Before coming to New York, I was a Research Fellow in the Machine Learning Group of Zoubin Ghahramani at the University of Cambridge, and previously a graduate student of Joachim M. Buhmann at ETH Zurich. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. �н�kD. ACL, 2013. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model Principles, London, July 19-21, 2004, Machine Learning @ Curriculum Vitae. Zoubin Ghahramani. Curriculum Vitae (updated 4 February 2019) Short Bio. 2012 Machine Learning Summer School Lectures, La The Indian Buffet Process and Adams — Vita ¦ ¤ ¥ ¤ Best Paper, ¥ §th International Conference on Artificial Intelligence and Statistics(with Hanna Wallach & Zoubin Ghahramani) ¦ ¤ ¥ ¤ Honorable Mention, International Society for Bayesian Analysis Leonard J. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. Zoubin Ghahramani University of Cambridge Uber AI Labs zoubin@eng.cam.ac.uk Richard E. Turner University of Cambridge ret26@cam.ac.uk Bernhard Schölkopf Max Planck Institute bs@tuebingen.mpg.de Sergey Levine UC Berkeley svlevine@eecs.berkeley.edu Abstract Off-policy model-free deep reinforcement learning methods using previously col- Journal of Machine Learning Research, 2010. Bayesian exponential family PCA. All positions will involve research in collaboration with Zoubin Ghahramani, Carl Rasmussen, Richard Turner, Hong Ge and other members of the group ... (CV), including a list of your publications, and a covering letter in the Upload section of the online application. Currently. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. /Length 1376 Lectures of the Machine Learning Summer School, Tutorial on This is a unique programme, and admission in the last years was highly competitive. >> /Filter /FlateDecode 6-b;"����5��o]����� �Í9*@��uͷ��9/l�Z�=&�����Y���Qp^�b��E�8� ۀ5�S!������T;5��1�,W�ϕXoZ�FN ��gUM��UdY�Y+Yq. << Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. 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I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying /Filter /FlateDecode Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. Statistical Science (Associate Editor, 2020-) SIAM Journal on the Mathematics of Data Science (Founding Section Editor, 2018-2020) Foundations and Trends in Machine Learning (Editor-in-Chief, 2007-) Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. 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