zoubin ghahramani cv

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 Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. stream BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. %PDF-1.5 CGPA: 3.93. Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK This is a unique programme, and admission in the last years was highly competitive. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. Max Planck Institute for Intelligent Systems, Germany. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. Bayesian exponential family PCA. c�$Y�W=~��z-��(t��z�s8z��.��f�ZA��U�xT��/G#_ ��8T㴢7��&� 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 /Filter /FlateDecode 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.. Memorial Site for my friend and colleague. The Indian Buffet Process and Statistical models for partial membership. Pedro A. Ortega is a Research Scientist at DeepMind. Exam Topic List, Statistical Kronecker graphs: an approach to modeling networks. 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. A Very Simple Safe-Bayesian Random Forest. Heller, and Z. Ghahramani. stream R.P. %�� and the Information Revolution, Bayesian Hidden Markov Models 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-) - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Novi Quadrianto and Zoubin Ghahramani. • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. Jacob Andreas, Andreas Vlachos and Stephen Clark. 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. Efficient and flexible variational inference algorithms Postdoctoral Researcher. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter 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 … In Neural Information Processing Systems (NIPS), 2008. 1297-1303, 2015. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model Welcome to my webspace! Applications should be emailed to yg279 -at- cam.ac.uk with … 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�]��= Jacob Andreas and Zoubin Ghahramani. 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- �`�� D>!�0$��Q��jM��I�5�=��cK�ؒ�q��p��(�}W�� a�9�@_��Y R�C�Ҋ��qeph�". Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Zoubin Ghahramani. 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| Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial Dependent Indian bu et processes. Bayesian Models. 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. 37 (6), pp. y. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. 2018: Variational Bayesian dropout: pitfalls and fixes. IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. << In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. 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, … GPStruct: Bayesian Structured Prediction using Gaussian Processes. Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), 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. Katherine A. Heller, Sinead Williamson and 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$-��I��6@x��"/e[o`d^�&|lm*�w-&��PO[A��֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.��r��pj��;��*��A�$ 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. 2018: Variational Bayesian dropout: pitfalls and fixes. 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. 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- Principles, London, July 19-21, 2004, Machine Learning @ Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive Nonparametric Bayesian Methods, Tutorial on /Length 1950 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. 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. 18. NIPS 2009 Workshop on IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning {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��{�? << 4 [7] Parsing … Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. 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