zoubin ghahramani cv

1297-1303, 2015. Approaches to Learning and Discovery, Spring 2002, Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. His final year project was supervised by Prof Zoubin Ghahramani. A Very Simple Safe-Bayesian Random Forest. Journal of Machine Learning Research, 2010. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Apply to. Host: Ecole Centrale Paris, DIOCLES. 18. endstream • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. 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. >> /Length 1376 Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 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 … endobj BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. ACL, 2013. Journal of Machine Learning Research. stream 3 0 obj The Indian Buffet Process and R.P. 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| 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. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Novi Quadrianto and Zoubin Ghahramani. 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. 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- My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. Curriculum Vitae. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. Currently. Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. /Filter /FlateDecode {���^����ճ��˅�z����#�K����G�GB����q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5�������������gU,��B�z��a��PB�� ��[����a:_���b�,���C|? Jacob Andreas and Zoubin Ghahramani. UAI 2015. 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. Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley CGPA: 3.93. Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Currently. Zoubin Ghahramani. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. 14 0 obj Statistical models for partial membership. Welcome to my webspace! �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". *��C.���ԭE�q�x\�ήz��M��P�%�X+�&3��h 5=�!���^B��)������e�mk�4�o����0.�|SM1��كFz�����t�N�x�x8��e��р��� �� Cٴ���L�:�Ý�xq�� �� "�U�T�W�;V��s Srj�^�Tw��=�k���JeSs)끚�mq(}��z;-T�SB���f���Q���s�:��Lu�+-���8l���}q���R�W�Xֻ$-��I���6@x���"/e[o`d^�&|lm*�w-&��PO[A���֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.���r����pj���;��*����A�$ 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.. 2018: Variational Bayesian dropout: pitfalls and fixes. Pedro A. Ortega is a Research Scientist at DeepMind. Palma: Interested in a PhD in Machine Learning? Dependent Indian bu et processes. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model Memorial Site for my friend and colleague. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. << He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. {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${Q8ģ����0o ���P��aefܖi�Cm�\f���{�? Applications should be emailed to yg279 -at- cam.ac.uk with … Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. Dependent Indian bu et processes. %PDF-1.5 Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. X���h��3�;X\N)'�qcx�\��_'-���+��(�o&� �B�KayU �+�~�-6׍��QB�A��,�N!�YS*p"qן�( ��А~�G��>b]W�=�q��Rj{� ���U�x��c�^��Z�M�{^q��}2DZ��Q�p9�Hd�Eb�/[ ���uStD��!��ŧR�4�(]U�=�����G�^ϋ��?�D�1��k Y�#x����Ч���>/�7i`h��Ä���'G҇��%j)�^ �q ��l#+��Rwq�\M'?��q��ږ�����+q��y'h:́���!����7�S�"pF��]����!�hiTi��e4�3����'w&,y-��-I�)Uu�F���pІ�(������g%U��mu��ߔ|0?�OȂNŗ|ov"Y���>�oP�Z����>Ua�a _|Ql�����a��>x���Z�^�hC#6��}�hY�#?������5�U:�dbV}y�E�1#g�߶Ke��;**Bb�h�~��2hP�*�Jn�:��V0�F��jt�J_,3��ʝ��^��E���qS�e^��ߛ��!q|F�#������Zf�`�O]q~�Gа�]���= He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Efficient and flexible variational inference algorithms Postdoctoral Researcher. /Filter /FlateDecode ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ Bayesian exponential family PCA. 37 (6), pp. xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( Principles, London, July 19-21, 2004, Machine Learning @ Curriculum Vitae (updated 4 February 2019) Short Bio. 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. S. Mohamed, K.A. 2018: Variational Bayesian dropout: pitfalls and fixes. Bayesian Machine Learning, Tutorial on Zoubin Ghahramani. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. 2017. Max Planck Institute for Intelligent Systems, Germany. Heller, and Z. Ghahramani. 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-) 2012 Machine Learning Summer School Lectures, La University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Advised by Prof. Bernhard Schoelkopf. 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. 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… CV is available Here �W�ۺfgZ݃N-. Kronecker graphs: an approach to modeling networks. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. 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. stream 4 [7] Parsing … [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying 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 GPStruct: Bayesian Structured Prediction using Gaussian Processes. Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. 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. y. [8] Semantic parsing as machine translation. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 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. Nonparametrics, Video Cambridge University, IEEE Transactions on University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. Exam Topic List, Statistical Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. Statistical models for partial membership. /Length 1950 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. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. >> �н�kD. and the Information Revolution, Bayesian Hidden Markov Models [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. 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, … Bayesian Models. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� and Extensions, A Brief Overview of Nonparametric 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. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. Lectures of the Machine Learning Summer School, Tutorial on CV and Bio. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. 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Is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, Distinguished! Variational Bayesian dropout: pitfalls and fixes available Here jure Leskovec, Lang. Admission in the last years was highly competitive Engineering at the University of Cambridge, and Fellow! National Institute for Intelligent Systems in Neural Information Processing Systems ( NIPS ), 2008 van de Meent years!

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