zoubin ghahramani cv

- Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. /Length 1950 Spotlight Pre- Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics This is a unique programme, and admission in the last years was highly competitive. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Bayesian Models. 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. 2017. 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Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. 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. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. 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. 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). Jacob Andreas, Andreas Vlachos and Stephen Clark. endstream Novi Quadrianto and Zoubin Ghahramani. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. Nonparametrics, Video Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Efficient and flexible variational inference algorithms Postdoctoral Researcher. Highest Rank 1st of 264 students (2010 Winter). 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. Statistical models for partial membership. %PDF-1.5 He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. /Length 1376 4 [7] Parsing … Approaches to Learning and Discovery, Spring 2002, In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. 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. 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 … Journal of Machine Learning Research. {��^��ճ��˅�z��#�K��G�GB��q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5��gU,��B�z��a��PB�� [��a:_��b�,��C|? c�$Y�W=~��z-��(t��z�s8z��.��f�ZA��U�xT��/G#_ ��8T㴢7��&� Currently. 14 0 obj GPStruct: Bayesian Structured Prediction using Gaussian Processes. His final year project was supervised by Prof Zoubin Ghahramani. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. 2012 Machine Learning Summer School Lectures, La Supervisors: Zoubin Ghahramani (on leave), José Miguel Hernández-Lobato Fall 2018 to Present Research Scientist DeepMind (one day per week) February 2019 to Present Research Scientist Intern DeepMind Supervisor: Balaji Lakshminarayanan Summer … ;��&ϙ�-�>72֬�@u �"��E�V� 稦ދB��$ Q �J�C@�?I��o^q}��n�P��Z?�r̋��e_m߇��W�Y�4FC$ A Very Simple Safe-Bayesian Random Forest. Principles, London, July 19-21, 2004, Machine Learning @ Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Dependent Indian bu et processes. BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos 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. 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. Dependent Indian bu et processes. Exam Topic List, Statistical CV is available Here [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Extensions, 7th Workshop on Bayesian - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. Apply to. xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|��n�� չ�\]��w�7�E( My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. Lent, Cambridge, Image Searching and Modelling (Part /Filter /FlateDecode Bayesian exponential family PCA. �W�ۺfgZ݃N-. Palma: Interested in a PhD in Machine Learning? Statistical models for partial membership. >> 924{931, 2010. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 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 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-) Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive Host: Ecole Centrale Paris, DIOCLES. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. /Filter /FlateDecode IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Heller, and Z. Ghahramani. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 1297-1303, 2015. 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 Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. �н�kD. Welcome to my webspace! Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Journal of Machine Learning Research, 2010. The Indian Buffet Process and 2018: Variational Bayesian dropout: pitfalls and fixes. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Currently. S. Mohamed, K.A. I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. Efficient and flexible variational inference algorithms Postdoctoral Researcher. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. 37 (6), pp. endobj Advised by Prof. Bernhard Schoelkopf. Zoubin Ghahramani. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial Curriculum Vitae. 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.. 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, … R.P. Kronecker graphs: an approach to modeling networks. 18. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. ACL, 2013. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. UAI 2015. In Neural Information Processing Systems (NIPS), 2008. Pedro A. Ortega is a Research Scientist at DeepMind. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. Journal of Machine Learning 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- Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley 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. ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. 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. 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. << 2017. 3 0 obj NIPS 2009 Workshop on 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. and the Information Revolution, Bayesian Hidden Markov Models 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. << {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${Q8ģ��0o ��P��aefܖi�Cm�\f��{�? [8] Semantic parsing as machine translation. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. Nonparametric Bayesian Methods. Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. 924{931, 2010. H�6�w0��50�}��͑ ��4ld)��[��g��j��RX��$�yQ�-�bl| %�� He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. 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