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Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. 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| R.P. Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning 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). Statistical models for partial membership. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Journal of Machine Learning Research, 2010. 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. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. 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. 2017. Currently. {���^����ճ��˅�z����#�K����G�GB����q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5�������������gU,��B�z��a��PB�� ��[����a:_���b�,���C|? Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. 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. Kronecker graphs: an approach to modeling networks. Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Lectures of the Machine Learning Summer School, Tutorial on Approaches to Learning and Discovery, Spring 2002, RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Advised by Prof. Bernhard Schoelkopf. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. and the Information Revolution, Bayesian Hidden Markov Models Curriculum Vitae (updated 4 February 2019) Short Bio. 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- 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 37 (6), pp. My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. 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. Journal of Machine Learning Research, 2010. Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. Palma: Interested in a PhD in Machine Learning? CV is available Here Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Welcome to my webspace! 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. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive %���� He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Extensions, 7th Workshop on Bayesian Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model Memorial Site for my friend and colleague. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 2018: Variational Bayesian dropout: pitfalls and fixes. GPStruct: Bayesian Structured Prediction using Gaussian Processes. %PDF-1.5 Spotlight Pre- The Indian Buffet Process and Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Journal of Machine Learning Research. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. stream • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. Supervisor: Zoubin Ghahramani; Serial and Parallel Inference in Sparse Nonparametric Latent Factor Models applied to Gene Expression Modeling (2009) pdf PhD First Year Report, Department of Engineering, University of Cambridge Supervisor: Zoubin Ghahramani; Statistical tools for ulta-deep pyrosequencing of fast evolving viruses (2008) pdf Applications should be emailed to yg279 -at- cam.ac.uk with … Journal of Machine Learning Research. Dependent Indian bu et processes. 4 [7] Parsing … BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. {P���\�PrQ��꽕R����U"@c�kIQ��͇.���m�d�U:�����;����)������l�[5D8���(����U��뺬t��j)���KY�L�V��g����q�"�]�����u�`w�ōC�Hx�S�!^��M��ϴC�`�L`5m h���#쓕*��rP�yc&aY�75�:[�v�������4���\�k&�� Jo ��,�e�+gj���N1Iؚ�B"�#ע�,��x>r�w��"�{V�SV0,N)����T��������/%25#7-������1�!�b�(Sz+77J${Q8ģ����0o ���P��aefܖi�Cm�\f���{�? [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. 2017. 14 0 obj 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. 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 … UAI 2015. xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( Efficient and flexible variational inference algorithms Postdoctoral Researcher. His final year project was supervised by Prof 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. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on Exam Topic List, Statistical CGPA: 3.93. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. 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. 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. y. Statistical models for partial membership. 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… 924{931, 2010. Jacob Andreas, Andreas Vlachos and Stephen Clark. Max Planck Institute for Intelligent Systems, Germany. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos 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$-��I���6@x���"/e[o`d^�&|lm*�w-&��PO[A���֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.���r����pj���;��*����A�$ Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. S. Mohamed, K.A. Novi Quadrianto and Zoubin Ghahramani. 924{931, 2010. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. 18. 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, … NIPS 2009 Workshop on - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. 3 0 obj He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 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 Zoubin Ghahramani. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. stream R.P. 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- 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. 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-) Bayesian Models. �н�kD. and Extensions, A Brief Overview of Nonparametric 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. c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� endstream Nonparametric Bayesian Methods, Tutorial on I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. [8] Semantic parsing as machine translation. /Length 1950 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. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. >> 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. Apply to. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. 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 [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. >> Dependent Indian bu et processes. Lent, Cambridge, Image Searching and Modelling (Part /Filter /FlateDecode Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley 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.. Host: Ecole Centrale Paris, DIOCLES. Heller, and Z. Ghahramani. << Bayesian exponential family PCA. Currently. 1297-1303, 2015. Curriculum Vitae. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. 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 UAI 2015. Pedro A. Ortega is a Research Scientist at DeepMind. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial Comparison, Machine [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. probabilistic modelling and Bayesian inference. 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. My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. 2018: Variational Bayesian dropout: pitfalls and fixes. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 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Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning 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). Statistical models for partial membership. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Journal of Machine Learning Research, 2010. 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. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. 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. 2017. Currently. {���^����ճ��˅�z����#�K����G�GB����q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5�������������gU,��B�z��a��PB�� ��[����a:_���b�,���C|? Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. 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. Kronecker graphs: an approach to modeling networks. Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Lectures of the Machine Learning Summer School, Tutorial on Approaches to Learning and Discovery, Spring 2002, RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. Advised by Prof. Bernhard Schoelkopf. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. and the Information Revolution, Bayesian Hidden Markov Models Curriculum Vitae (updated 4 February 2019) Short Bio. 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- 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 37 (6), pp. My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. 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. Journal of Machine Learning Research, 2010. Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. Palma: Interested in a PhD in Machine Learning? CV is available Here Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. Welcome to my webspace! 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. Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive %���� He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Extensions, 7th Workshop on Bayesian Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model Memorial Site for my friend and colleague. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 2018: Variational Bayesian dropout: pitfalls and fixes. GPStruct: Bayesian Structured Prediction using Gaussian Processes. %PDF-1.5 Spotlight Pre- The Indian Buffet Process and Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in Journal of Machine Learning Research. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. stream • Working with Prof. David M. Blei and Prof. Zoubin Ghahramani • Research topics: Probabilistic models for econometrics (shopping and location data) and electronic health records. �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". 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 Applications should be emailed to yg279 -at- cam.ac.uk with … Journal of Machine Learning Research. Dependent Indian bu et processes. 4 [7] Parsing … BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. {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${Q8ģ����0o ���P��aefܖi�Cm�\f���{�? [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. 2017. 14 0 obj 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. 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 … UAI 2015. xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( Efficient and flexible variational inference algorithms Postdoctoral Researcher. His final year project was supervised by Prof 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. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on Exam Topic List, Statistical CGPA: 3.93. In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. 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. 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. y. Statistical models for partial membership. 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… 924{931, 2010. Jacob Andreas, Andreas Vlachos and Stephen Clark. Max Planck Institute for Intelligent Systems, Germany. Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos 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$-��I���6@x���"/e[o`d^�&|lm*�w-&��PO[A���֜�_`תS%�=��a"4!�Y�QW�ug��m!0V�TOw��o`��R�.���r����pj���;��*����A�$ Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. S. Mohamed, K.A. Novi Quadrianto and Zoubin Ghahramani. 924{931, 2010. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. 18. 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, … NIPS 2009 Workshop on - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. 3 0 obj He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 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 Zoubin Ghahramani. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. stream R.P. 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- 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. 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-) Bayesian Models. �н�kD. and Extensions, A Brief Overview of Nonparametric 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. c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� endstream Nonparametric Bayesian Methods, Tutorial on I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. [8] Semantic parsing as machine translation. /Length 1950 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. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. >> 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. Apply to. Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. 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 [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. >> Dependent Indian bu et processes. Lent, Cambridge, Image Searching and Modelling (Part /Filter /FlateDecode Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley 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.. Host: Ecole Centrale Paris, DIOCLES. Heller, and Z. Ghahramani. << Bayesian exponential family PCA. Currently. 1297-1303, 2015. Curriculum Vitae. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. 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 UAI 2015. Pedro A. Ortega is a Research Scientist at DeepMind. Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial Comparison, Machine [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. probabilistic modelling and Bayesian inference. 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. My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. 2018: Variational Bayesian dropout: pitfalls and fixes. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 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