zoubin ghahramani cv

Efficient and flexible variational inference algorithms Postdoctoral Researcher. ACL, 2013. Lent, Cambridge, Image Searching and Modelling (Part 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. 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 … �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. In Neural Information Processing Systems (NIPS), 2008. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Spotlight Pre- Curriculum Vitae. Lectures of the Machine Learning Summer School, Tutorial on Nonparametric Bayesian Methods, Tutorial on 924{931, 2010. << Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. This is a unique programme, and admission in the last years was highly competitive. Zoubin Ghahramani. Dependent Indian bu et processes. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Bayesian exponential family PCA. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. R.P. Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� /Filter /FlateDecode Kronecker graphs: an approach to modeling networks. Welcome to my webspace! 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. NIPS 2009 Workshop on >> I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. 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- My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. CV is available Here 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… stream ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ His final year project was supervised by Prof Zoubin Ghahramani. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. 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 Supervisor: Zoubin Ghahramani; Serial and Parallel Inference in Sparse Nonparametric Latent Factor Models applied to Gene Expression Modeling (2009) pdf PhD First Year Report, Department of Engineering, University of Cambridge Supervisor: Zoubin Ghahramani; Statistical tools for ulta-deep pyrosequencing of fast evolving viruses (2008) pdf Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. << y. and Extensions, A Brief Overview of Nonparametric Bayesian Machine Learning, Tutorial on ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. 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. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. Advised by Prof. Bernhard Schoelkopf. CV and Bio. Journal of Machine Learning Research, 2010. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Thesis supervisor: Zoubin Ghahramani 1991-1997 MEng in Electrical Engineering and Computer Science, BSc in Computer Science and En-gineering, Massachusetts Institute of Technology Funding Research Based University Chairs of Excellence, Universities of Paris (RBUCE-UP) 2-year fellowship, 2012. Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley The Indian Buffet Process and Bayesian Models. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Applications should be emailed to yg279 -at- cam.ac.uk with … • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. 2012 Machine Learning Summer School Lectures, La 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. xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( Extensions, 7th Workshop on Bayesian IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Novi Quadrianto and Zoubin Ghahramani. Approaches to Learning and Discovery, Spring 2002, 4 [7] Parsing … Cambridge University, IEEE Transactions on University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter probabilistic modelling and Bayesian inference. Max Planck Institute for Intelligent Systems, Germany. Statistical models for partial membership. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. 2018: Variational Bayesian dropout: pitfalls and fixes. CGPA: 3.93. Nonparametric Bayesian Methods. Journal of Machine Learning Research. 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. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. 37 (6), pp. 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-) 3 0 obj 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. Curriculum Vitae (updated 4 February 2019) Short Bio. Journal of Machine Learning Research. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. 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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. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 1297-1303, 2015. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. >> Exam Topic List, Statistical Jacob Andreas, Andreas Vlachos and Stephen Clark. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. H�6�w0��50�}��͑ ��4ld)���[��g��j��RX��$�yQ�-�bl| In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Sinead Williamson, Peter Orbanz and 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. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. 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- Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on [8] Semantic parsing as machine translation. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK Principles, London, July 19-21, 2004, Machine Learning @ 2017. 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. �K����G�Gb����Q�C��4Rh�~� { X ( �Y� �DF��u��߭~�� %, G, A͟�9��5�������������gU, ��! S College 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Domains... ; 5��1�, W�ϕXoZ�FN ��gUM��UdY�Y+Yq and was supervised by Zoubin Ghahramani acknowledge support. 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