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. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. �W�ۺfgZ݃N-. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. << 2018: Variational Bayesian dropout: pitfalls and fixes. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Journal of Machine Learning Research. 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. Memorial Site for my friend and colleague. Currently. 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. Exam Topic List, Statistical Principles, London, July 19-21, 2004, Machine Learning @ [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. 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. *��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$-��I���6@x���"/e[o`d^�&|lm*�w-&��PO[A���֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.���r����pj���;��*����A�$ Statistical models for partial membership. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. 2018: Variational Bayesian dropout: pitfalls and fixes. The Indian Buffet Process and My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. 924{931, 2010. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Journal of Machine Learning Research, 2010. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei {���^����ճ��˅�z����#�K����G�GB����q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5�������������gU,��B�z��a��PB�� ��[����a:_���b�,���C|? R.P. Max Planck Institute for Intelligent Systems, Germany. 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. �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. 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 He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. 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- Statistical models for partial membership. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. NIPS 2009 Workshop on xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Kronecker graphs: an approach to modeling networks. Kronecker graphs: an approach to modeling networks. 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). << Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos 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 … 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. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), 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.. 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. 2012 Machine Learning Summer School Lectures, La 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, … 2017. A Very Simple Safe-Bayesian Random Forest. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. Novi Quadrianto and Zoubin Ghahramani. Journal of Machine Learning Research, 2010. Jacob Andreas and Zoubin Ghahramani. /Length 1950 Lectures of the Machine Learning Summer School, Tutorial on CV is available Here Highest Rank 1st of 264 students (2010 Winter). S. Mohamed, K.A. 18. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter UAI 2015. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. /Filter /FlateDecode and Extensions, A Brief Overview of Nonparametric Zoubin Ghahramani. Nonparametric Bayesian Methods, Tutorial on 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. 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| >> 14 0 obj Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. Approaches to Learning and Discovery, Spring 2002, probabilistic modelling and Bayesian inference. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Lent, Cambridge, Image Searching and Modelling (Part IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. Cambridge University, IEEE Transactions on Host: Ecole Centrale Paris, DIOCLES. 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. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Bayesian Models. GPStruct: Bayesian Structured Prediction using Gaussian Processes. y. IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying and the Information Revolution, Bayesian Hidden Markov Models Welcome to my webspace! Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. 3 0 obj Dependent Indian bu et processes. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter 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… >> Nonparametrics, Video ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK Currently. 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. Advised by Prof. Bernhard Schoelkopf. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. ACL, 2013. 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. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. /Length 1376 Dependent Indian bu et processes. Zoubin Ghahramani. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. /Filter /FlateDecode BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning %PDF-1.5 Journal of Machine Learning Research. �н�kD. 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- Bayesian Machine Learning, Tutorial on I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. Curriculum Vitae. Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley • 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 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. %���� Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Nonparametric Bayesian Methods. 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. {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���{�? Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive endstream Pedro A. Ortega is a Research Scientist at DeepMind. CGPA: 3.93. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. Efficient and flexible variational inference algorithms Postdoctoral Researcher. ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ Comparison, Machine [8] Semantic parsing as machine translation. endobj 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. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. 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 … His final year project was supervised by Prof Zoubin Ghahramani. Applications should be emailed to yg279 -at- cam.ac.uk with … We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. X���h��3�;X\N)'�qcx�\��_'-���+��(�o&� �B�KayU �+�~�-6׍��QB�A��,�N!�YS*p"qן�( ��А~�G��>b]W�=�q��Rj{� ���U�x��c�^��Z�M�{^q��}2DZ��Q�p9�Hd�Eb�/[ ���uStD��!��ŧR�4�(]U�=�����G�^ϋ��?�D�1��k Y�#x����Ч���>/�7i`h��Ä���'G҇��%j)�^ �q ��l#+��Rwq�\M'?��q��ږ�����+q��y'h:́���!����7�S�"pF��]����!�hiTi��e4�3����'w&,y-��-I�)Uu�F���pІ�(������g%U��mu��ߔ|0?�OȂNŗ|ov"Y���>�oP�Z����>Ua�a _|Ql�����a��>x���Z�^�hC#6��}�hY�#?������5�U:�dbV}y�E�1#g�߶Ke��;**Bb�h�~��2hP�*�Jn�:��V0�F��jt�J_,3��ʝ��^��E���qS�e^��ߛ��!q|F�#������Zf�`�O]q~�Gа�]���= stream 37 (6), pp. Jacob Andreas, Andreas Vlachos and Stephen Clark. Curriculum Vitae (updated 4 February 2019) Short Bio. 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 Apply to. In Neural Information Processing Systems (NIPS), 2008. Efficient and flexible variational inference algorithms Postdoctoral Researcher. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. 1297-1303, 2015. Extensions, 7th Workshop on Bayesian H�6�w0��50�}��͑ ��4ld)���[��g��j��RX��$�yQ�-�bl| 924{931, 2010. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Spotlight Pre- CV and Bio. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model stream Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. 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. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Palma: Interested in a PhD in Machine Learning? 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. R.P. 2017. 4 [7] Parsing … CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Bayesian exponential family PCA. Heller, and Z. Ghahramani. 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