zoubin ghahramani cv

His final year project was supervised by Prof Zoubin Ghahramani. Welcome to my webspace! Lectures of the Machine Learning Summer School, Tutorial on - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 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. c�$Y�W=~��z-��(t��z�s8z��.��f�ZA��U�xT��/G#_ ��8T㴢7��&� {P��\�PrQ��꽕R��U"@c�kIQ��͇.��m�d�U:��;��)��l�[5D8��(��U��뺬t��j)��KY�L�V��g��q�"�]��u�`w�ōC�Hx�S�!^��M��ϴC�`�L`5m h��#쓕*��rP�yc&aY�75�:[�v��4��\�k&�� Jo ��,�e�+gj��N1Iؚ�B"�#ע�,��x>r�w��"�{V�SV0,N)��T��/%25#7-��1�!�b�(Sz+77J${Q8ģ��0o ��P��aefܖi�Cm�\f��{�? Lent, Cambridge, Image Searching and Modelling (Part %�� y. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 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… Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 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. Bayesian Models. S. Mohamed, K.A. Pedro A. Ortega is a Research Scientist at DeepMind. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Exam Topic List, Statistical UAI 2015. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial 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 In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Apply to. 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Principles, London, July 19-21, 2004, Machine Learning @ 2018: Variational Bayesian dropout: pitfalls and fixes. Spotlight Pre- /Filter /FlateDecode Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). Nonparametrics, Video �н�kD. stream Journal of Machine Learning Research. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. 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. 37 (6), pp. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Statistical models for partial membership. Dependent Indian bu et processes. �W�ۺfgZ݃N-. A Very Simple Safe-Bayesian Random Forest. 2018: Variational Bayesian dropout: pitfalls and fixes. In Neural Information Processing Systems (NIPS), 2008. << Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. CGPA: 3.93. 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. >> Jacob Andreas and Zoubin Ghahramani. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 3 0 obj Approaches to Learning and Discovery, Spring 2002, Efficient and flexible variational inference algorithms Postdoctoral Researcher. Bayesian exponential family PCA. My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. 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. Statistical models for partial membership. and the Information Revolution, Bayesian Hidden Markov Models CV is available Here He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. This is a unique programme, and admission in the last years was highly competitive. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Nonparametric Bayesian Methods. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. ACL, 2013. 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-) Kronecker graphs: an approach to modeling networks. Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive 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. 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.. stream Journal of Machine Learning Research. 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- Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Applications should be emailed to yg279 -at- cam.ac.uk with … 2017. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Cambridge University, IEEE Transactions on IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying 2017. H�CƜ!~�bc�Ã7��4��3�{�?Tf��H�Y�h�Ska�０��l9��)>{!��σ��4�7�5q�5��%�#8멿s��Fo=��=&)��X��12.ri��rk�g��E��ܠ��C��U^�f�r-�\�K�Cpj�Fɍ��޿A��bW5r��;y��Z| Max Planck Institute for Intelligent Systems, Germany. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Zoubin Ghahramani. *��C.��ԭE�q�x\�ήz��M��P�%�X+�&3��h 5=�!��^B��)��e�mk�4�o��0.�|SM1��كFz��t�N�x�x8��e��р�� Cٴ��L�:�Ý�xq�� "�U�T�W�;V��s Srj�^�Tw��=�k��JeSs)끚�mq(}��z;-T�SB��f��Q��s�:��Lu�+-��8l��}q��R�W�Xֻ$-��I��6@x��"/e[o`d^�&|lm*�w-&��PO[A��֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.��r��pj��;��*��A�$ Bayesian Machine Learning, Tutorial on CV and Bio. 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 [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. 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 GPStruct: Bayesian Structured Prediction using Gaussian Processes. Jacob Andreas, Andreas Vlachos and Stephen Clark. Currently. ;��&ϙ�-�>72֬�@u �"��E�V� 稦ދB��$ Q �J�C@�?I��o^q}��n�P��Z?�r̋��e_m߇��W�Y�4FC$ endobj 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. 924{931, 2010. Nonparametric Bayesian Methods, Tutorial on Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning Extensions, 7th Workshop on Bayesian >> Dependent Indian bu et processes. UAI 2015. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Palma: Interested in a PhD in Machine Learning? Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. Heller, and Z. Ghahramani. /Filter /FlateDecode Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. 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. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. [8] Semantic parsing as machine translation. 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. Kronecker graphs: an approach to modeling networks. My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. 14 0 obj probabilistic modelling and Bayesian inference. 1297-1303, 2015. H�6�w0��50�}��͑ ��4ld)��[��g��j��RX��$�yQ�-�bl| University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter NIPS 2009 Workshop on Currently. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Journal of Machine Learning Research, 2010. R.P. Curriculum Vitae (updated 4 February 2019) Short Bio. 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. 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. Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK Efficient and flexible variational inference algorithms Postdoctoral Researcher. Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. /Length 1950 Advised by Prof. Bernhard Schoelkopf. Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. 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, … ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. 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 … 2012 Machine Learning Summer School Lectures, La Zoubin Ghahramani. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. Comparison, Machine 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. 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. Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley Highest Rank 1st of 264 students (2010 Winter). Novi Quadrianto 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 … • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. endstream Memorial Site for my friend and colleague. 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. 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. Journal of Machine Learning Research, 2010. 4 [7] Parsing … He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei , supervised by Prof Zoubin Ghahramani FRS, Anirban Dasgupta and Michael.!, Part TimeContract Type: Fixed-Ter R.P Future of Intelligence, and a Fellow of St ’. 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