zoubin ghahramani cv

Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. �W�ۺfgZ݃N-. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Nonparametric Bayesian Methods, Tutorial on Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning stream 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- Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK 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 R.P. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Max Planck Institute for Intelligent Systems, Germany. *��C.���ԭE�q�x\�ήz��M��P�%�X+�&3��h 5=�!���^B��)������e�mk�4�o����0.�|SM1��كFz�����t�N�x�x8��e��р��� �� Cٴ���L�:�Ý�xq�� �� "�U�T�W�;V��s Srj�^�Tw��=�k���JeSs)끚�mq(}��z;-T�SB���f���Q���s�:��Lu�+-���8l���}q���R�W�Xֻ$-��I���6@x���"/e[o`d^�&|lm*�w-&��PO[A���֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.���r����pj���;��*����A�$ 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). 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. 2018: Variational Bayesian dropout: pitfalls and fixes. Extensions, 7th Workshop on Bayesian Bayesian exponential family PCA. 924{931, 2010. 2017. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. >> 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. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. 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. 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. Apply to. /Length 1950 Lent, Cambridge, Image Searching and Modelling (Part His final year project was supervised by Prof Zoubin Ghahramani. Zoubin Ghahramani. Approaches to Learning and Discovery, Spring 2002, Currently. Host: Ecole Centrale Paris, DIOCLES. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Dependent Indian bu et processes. 3 0 obj {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���{�? 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. Curriculum Vitae (updated 4 February 2019) Short Bio. GPStruct: Bayesian Structured Prediction using Gaussian Processes. Palma: Interested in a PhD in Machine Learning? Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. NIPS 2009 Workshop on Pedro A. Ortega is a Research Scientist at DeepMind. 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. 2018: Variational Bayesian dropout: pitfalls and fixes. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. 2017. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. The Indian Buffet Process and A Very Simple Safe-Bayesian Random Forest. {���^����ճ��˅�z����#�K����G�GB����q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5�������������gU,��B�z��a��PB�� ��[����a:_���b�,���C|? 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.. 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- • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. In Neural Information Processing Systems (NIPS), 2008. 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. H�6�w0��50�}��͑ ��4ld)���[��g��j��RX��$�yQ�-�bl| IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying Exam Topic List, Statistical Nonparametric Bayesian Methods. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model 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�]���= Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. 14 0 obj Lectures of the Machine Learning Summer School, Tutorial on R.P. S. Mohamed, K.A. 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 … endstream 1297-1303, 2015. UAI 2015. Currently. >> My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Efficient and flexible variational inference algorithms Postdoctoral Researcher. 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 CGPA: 3.93. 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… y. /Filter /FlateDecode - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Journal of Machine Learning Research, 2010. Memorial Site for my friend and colleague. << Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. 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. CV and Bio. and the Information Revolution, Bayesian Hidden Markov Models 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| /Filter /FlateDecode [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. 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, … Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. 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. Jacob Andreas, Andreas Vlachos and Stephen Clark. ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. 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, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Nonparametrics, Video 4 [7] Parsing … Statistical models for partial membership. Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Zoubin Ghahramani. 37 (6), pp. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. /Length 1376 �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". 924{931, 2010. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Jacob Andreas and Zoubin Ghahramani. Highest Rank 1st of 264 students (2010 Winter). Journal of Machine Learning Research. Statistical models for partial membership. Cambridge University, IEEE Transactions on Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. and Extensions, A Brief Overview of Nonparametric 2012 Machine Learning Summer School Lectures, La Spotlight Pre- Advised by Prof. Bernhard Schoelkopf. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. << probabilistic modelling and Bayesian inference. Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Bayesian Models. 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 … Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. %���� BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. stream 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. %PDF-1.5 xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. Kronecker graphs: an approach to modeling networks. Heller, and Z. Ghahramani. 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. Journal of Machine Learning Research, 2010. Novi Quadrianto and Zoubin Ghahramani. Efficient and flexible variational inference algorithms Postdoctoral Researcher. CV is available Here endobj Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. �н�kD. Kronecker graphs: an approach to modeling networks. [8] Semantic parsing as machine translation. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Comparison, Machine Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on 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. 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. UAI 2015. ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. Bayesian Machine Learning, Tutorial on Applications should be emailed to yg279 -at- cam.ac.uk with … Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 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. 18. My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. Dependent Indian bu et processes. Welcome to my webspace! Principles, London, July 19-21, 2004, Machine Learning @ Journal of Machine Learning Research. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. 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 This is a unique programme, and admission in the last years was highly competitive. , 2013 Prof. Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Models. Corporation with the donation of the Thirteenth International Conference on Artificial Intelligence 33,,! Students ( 2010 Winter ), and generalizations Fellow of St John s! 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