ACL—Workshop on Continuous Vector Space Models and their Compositionality, 2013. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. << endobj Approaches to Learning and Discovery, Spring 2002, CV is available Here Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos and Zoubin Ghahramani. Palma: Interested in a PhD in Machine 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 … Zoubin Ghahramani, Professor, University of Cambridge Ryan Giordano , Postdoctoral Researcher, MIT Joseph Gonzalez , Assistant Professor, University of California, Berkeley Statistical models for partial membership. - Humboldt Post-Doctoral Fellowship Holder.Host: Max Planck Institute for Software Systems, Germany. GPStruct: Bayesian Structured Prediction using Gaussian Processes. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 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- Principles, London, July 19-21, 2004, Machine Learning @ BASc in Engineering Science, Electrical and Computer major 2009–2013 University of Toronto, Canada. �н�kD. IB, Paper 8), Cambridge, Unsupervised Learning Course (GI02), Fall 2005, UCL, Gatsby Machine Learning Qualifying 2017. UAI 2015. ACL, 2013. Zoubin Ghahramani. CGPA: 3.93. [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. Max Planck Institute for Intelligent Systems, Germany. 924{931, 2010. 2018: Variational Bayesian dropout: pitfalls and fixes. I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. 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… 14 0 obj y. 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. Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 2015 Sébastien Bratières, Novi Quadrianto, and Zoubin Ghahramani, Bayesian Structured Predic-tion using Gaussian Processes, IEEETransactions on Pattern Analysis and Machine Intelligence (PAMI). >> In Proceedings of the Thirteenth International Conference on Arti cial Intelligence and Statistics, pp. His final year project was supervised by Prof Zoubin Ghahramani. R.P. /Filter /FlateDecode Bayesian Machine Learning, Tutorial on Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei [41] Cunningham JP, Ghahramani Z (2015) Linear dimensionality reduction: survey, in-sights, and generalizations. Welcome to my webspace! 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. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. Journal of Machine Learning Research. Novi Quadrianto and Zoubin Ghahramani. Journal of Machine Learning Research, 2010. • 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. {���^����ճ��˅�z����#�K����G�GB����q�c��4rH�~�{x(�Y� �DF��u��߭~��%,G,A͟�9��5�������������gU,��B�z��a��PB�� ��[����a:_���b�,���C|? Applications should be emailed to yg279 -at- cam.ac.uk with … Dependent Indian bu et processes. A Very Simple Safe-Bayesian Random Forest. 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| %PDF-1.5 Extensions, 7th Workshop on Bayesian /Filter /FlateDecode Research interests: Gaussian Processes, Sensorimotor Control, Computational Neuroscience, Bayesian Machine Learning, Statistics Massachusetts Institute of Technology, September 2005 – June 2012 Thesis: Bayesian Nonparametric Methods for Reinforcement Learning in Partially Observable Domains. Nonparametric Bayesian Methods. Lectures of the Machine Learning Summer School, Tutorial on - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani. 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- 2018: Variational Bayesian dropout: pitfalls and fixes. Comparison, Machine Machine Learning Group Publications Webpage, Probabilistic Modelling, Machine Learning �`��� D>!�0$��Q��jM��I�5�=�����cK�ؒ�q���p��(�}W�� a�9�@_��Y R�C�Ҋ����qeph�". My dissertation is titled "Variational Algorithms for Approximate Bayesian Inference" and was supervised by Zoubin Ghahramani. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. and Extensions, A Brief Overview of Nonparametric Apply to. CMU, International Conference on Machine Learning (ICML 2007), Open Issues in xڭW]s�6}�_��4V�T�qv�MbOL��m��`Ũ��b;n�|����n���� ��չ�\]��w�7�E( Heller, and Z. Ghahramani. Katherine A. Heller, Sinead Williamson 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. Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani. Jacob Andreas and Zoubin Ghahramani. R.P. We also gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. Currently. This is a unique programme, and admission in the last years was highly competitive. Finale Doshi-Velez Education • Doctor of Philosophy, Computer Science. /Length 1950 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�]���= Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. [8] Semantic parsing as machine translation. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, vol. 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. Journal of Machine Learning Research. Advised by Prof. Richard E. Turner and Prof. Zoubin Ghahramani FRS. 37 (6), pp. University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter Exam Topic List, Statistical 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. Efficient and flexible variational inference algorithms Postdoctoral Researcher. S. Mohamed, K.A. Highest Rank 1st of 264 students (2010 Winter). 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. 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. 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. 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 probabilistic modelling and Bayesian inference. RESUME () RECENT POSITIONS - Group Leader at the Max Planck Institute for Intelligent Systems. 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. Bayesian Models. 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, … UAI 2015. Intelligence and Statistics, Barbados, Jan 6-8, 2005, Workshop on Learning Theoretic and Bayesian Inductive NIPS 2009 Workshop on Kronecker graphs: an approach to modeling networks. Efficient and flexible variational inference algorithms Postdoctoral Researcher. 2017. 2012 Machine Learning Summer School Lectures, La Columbia University (USA) 2015 – 2016 • Working with Prof. David M. Blei Spotlight Pre- - Postdoctoral Researcher for Prof. Zoubin Ghahramani at the Department of Engineering at the University of Cambridge. Amar Shah and Zoubin Ghahramani: Semi-supervised Active Learning with Deep Probabilistic Generative Models: Topics. 3 0 obj 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. Statistical models for partial membership. 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. Dependent Indian bu et processes. Proceedings of the AAAI Conference on Artificial Intelligence 33, 5207-5215, ... CV Nguyen, RE Turner, Z Ghahramani, A Weller. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. endstream Before joining in MIL in 2015, Moquan obtained Masters of Engineering (with Distinction) at University of Cambridge, in Information and Computer Engineering. Learning (4F13), Lent, Cambridge, Signal and Pattern Processing (3F3), Gaussian Processes for Machine Learning, The 10th International Workshop on Artificial %���� Pedro A. Ortega is a Research Scientist at DeepMind. Curriculum Vitae. Kronecker graphs: an approach to modeling networks. �W�ۺfgZ݃N-. Nonparametrics, Video Cambridge University, IEEE Transactions on c�$Y�W=~����z-���(t��z�s8z��.���f�ZA�����U�xT���/G#_ ��8T㴢7���&� Curriculum Vitae (updated 4 February 2019) Short Bio. Host: Ecole Centrale Paris, DIOCLES. x��X]s۶}���Lg�3K�?���J*ǖu-%�N�Z�e�K*?����w )Jf7��I .�gϞ]����Ƿ4p2?�i�~' �P�6�o�D��D�׵*��W�?�M{o��OX�f�7 Pattern Analysis and Machine Intelligence, 2013 Machine Learning Summer School Lectures, Tuebingen on University of Cambridge - Department of EngineeringLocation:CambridgeSalary:£26,715 to £40,322Hours:Full Time, Part TimeContract Type:Fixed-Ter H�6�w0��50�}��͑ ��4ld)���[��g��j��RX��$�yQ�-�bl| Lent, Cambridge, Image Searching and Modelling (Part ;��&ϙ�-�>72֬�@u �"����E�V� 稦ދB��$ Q �J�C@�?I����o^q}���n�P��Z?�r̋��e_m߇��W�Y�4FC$ Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department: Department of Engineering University of Cambridge Trumpington Street Cambridge CB2 1PZ, UK 18. Currently. Zoubin Ghahramani is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. Jacob Andreas, Andreas Vlachos and Stephen Clark. 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. Zoubin Ghahramani, Cambridge University, Machine Learning, Gatsby Computational Neuroscience Unit, University College London. 1297-1303, 2015. 924{931, 2010. Professor, University of Cambridge, and Distinguished Researcher, ... Z Ghahramani, K Kersting, I Valera. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John’s College. 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. 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 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. CV and Bio. Jure Leskovec, Kevin Lang, Anirban Dasgupta and Michael Mahoney. Probabilistic Models for Unsupervised Learning, An Old Talk on Bayesian Model >> stream 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 … 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. My main research interest are the statistics of discrete objects and structures: permutations, graphs, partitions, binary sequences. /Length 1376 Sinead Williamson, Peter Orbanz and Zoubin Ghahramani. 4 [7] Parsing … 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-) {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���{�? and the Information Revolution, Bayesian Hidden Markov Models He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. Memorial Site for my friend and colleague. The Indian Buffet Process and 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. Bayesian exponential family PCA. [40] Gardner JR, Song XD, Barbour DL, Weinberger KQ, Cunningham JP (2015) Psy-chophysical testing with Bayesian active learning. Jure Leskovec, Deepayan Chakrabarti, Jon M. 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