John Shawe-Taylor
homepage:http://www.cs.ucl.ac.uk/staff/j.shawe-taylor/
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Description

John S Shawe-Taylor is a professor at University College London (UK) where he is Director of the Centre for Computational Statistics and Machine Learning (CSML). His main research area is Statistical Learning Theory, but his contributions range from Neural Networks, to Machine Learning, to Graph Theory.

John Shawe-Taylor obtained a PhD in Mathematics at Royal Holloway, University of London in 1986. He subsequently completed an MSc in the Foundations of Advanced Information Technology at Imperial College. He was promoted to Professor of Computing Science in 1996. He has published over 150 research papers. He moved to the University of Southampton in 2003 to lead the ISIS research group. He has been appointed the Director of the Centre for Computational Statistics and Machine Learning at University College, London from July 2006. He has coordinated a number of European wide projects investigating the theory and practice of Machine Learning, including the NeuroCOLT projects. He is currently the scientific coordinator of a Framework VI Network of Excellence in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) involving 57 partners.


Lectures:

opening
flag Welcome
as organizer at  1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014,
together with: Miguel Rodrigues (organizer), Robert Calderbank (organizer),
98 views
  opening
flag Welcome and Introduction
as author at  1st Internet of Education Conference - The role of Computer Science in the Internet of Education, Ljubljana 2013,
78 views
lecture
flag Deep-er Kernels
as author at  Large-scale Online Learning and Decision Making (LSOLDM) Workshop, Cumberland Lodge 2013,
126 views
  invited talk
flag Deep-er Kernels
as author at  International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines (ROKS): theory and applications, Leuven 2013,
1013 views
event
flag Video Journal of Machine Learning Abstracts - Volume 4
as editor at  Video Journal of Machine Learning Abstracts - Volume 4,
together with: Alfons Juan-Císcar (editor), Samuel Kaski (editor), Davor Orlič (editor), Moritz Grosse-Wentrup, Jan Rupnik,
  opening
flag Opening of the Workshop on Co-creation of Emerging Trends in Academia
as author at  Workshop on Co-creation of Emerging Trends in Academia, Ljubljana 2012,
87 views
tutorial
flag PAC-Bayesian Analysis and Its Applications
as author at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Bristol 2012,
together with: Yevgeny Seldin, François Laviolette,
415 views
  invited talk
flag Limitations of kernel and multiple kernel learning
as author at  1st International Workshop on Similarity-Based Pattern Analysis and Recognition,
483 views
poster
flag Multiple Kernel Testing for SVM-based System Identification
as author at  New Directions in Multiple Kernel Learning,
287 views
  event
flag Video Journal of Machine Learning Abstracts - Volume 1
as editor at  Video Journal of Machine Learning Abstracts - Volume 1,
together with: Richard Zemel (editor),
opening
flag Opening Remarks and Awards
as author at  24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2010,
together with: Terrence J. Sejnowski, Richard Zemel,
422 views
  lecture
flag PAC-Bayes Analysis: Links to Luckiness and Applications
as author at  PASCAL Foundations and New Trends of PAC Bayesian Learning, London 2010,
126 views
lecture
flag Statistical Significance and Stability Analysis for Patterns
as author at  The Analysis of Patterns, Cagliari 2009,
405 views
  opening
flag Opening and Awards Ceremony at the ECML PKDD 2009
as chairman at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Bled 2009,
together with: Dunja Mladenić (chairman), Marko Grobelnik (chairman), Wray Buntine (chairman),
230 views
tutorial
flag Learning Theory
as author at  Machine Learning Summer School (MLSS), Cambridge 2009,
2004 views
  lecture
flag PAC-Bayes Analysis: Background and Applications
as author at  Machine Learning Summer School (MLSS), Chicago 2009,
535 views
tutorial
flag Kernel Methods and Support Vector Machines
as author at  Machine Learning Summer School (MLSS), Chicago 2009,
2625 views
  lecture
flag Kernel Learning for Novelty Detection
as author at  NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008,
661 views
lecture
flag Theory of Matching Pursuit in Kernel Defined Feature Spaces
as author at  NIPS Workshop on New Challenges in Theoretical Machine Learning: Learning with Data-dependent Concept Spaces, Whistler 2008,
322 views
  lecture
flag Operational overview and historical background, scientific programme
as author at  Pascal Symposium meeting, Bled 2008,
together with: Steve Gunn,
126 views
panel
flag Panel
as coauthor at  Pascal Symposium meeting, Bled 2008,
together with: Gunnar Rätsch (coauthor), Colin de la Higuera (moderator), Marko Grobelnik (coauthor), José L. Balcázar (coauthor), Nello Cristianini (coauthor),
81 views
  lecture
flag PAC-Bayes Analysis of Classification
as author at  The Analysis of Patterns, Bertinoro 2007,
1285 views
lecture
flag Graph complexity for structure and learning
as author at  Workshop on Graph Theory and Machine Learning,
693 views
  lecture
flag Kernel Methods in Statistical Learning
as author at  SMART Workshop, Grenoble 2007,
2296 views
event
flag NIPS Workshop on Dynamical Systems, Stochastic Processes and Bayesian Inference, Whistler 2006
as organizer at  NIPS Workshop on Dynamical Systems, Stochastic Processes and Bayesian Inference, Whistler 2006,
together with: Cedric Archambeau (organizer), Manfred Opper (organizer),
  lecture
flag Challenge results: PASCAL Exploration Vs Exploitation challenge results for phase II
as author at  NIPS Workshop on On-line Trading of Exploration and Exploitation, Whistler 2006,
112 views
lecture
flag Targeted PDF Learning
as author at  Open House on Multi-Task and Complex Outputs Learning, London 2006,
129 views
  lecture
flag Exploration versus Exploitation
as author at  PASCAL Second Challenges Workshop, Venice 2006,
153 views
lecture
flag Simple UCB for parallel tracking
as author at  PASCAL Second Challenges Workshop, Venice 2006,
104 views
  lecture
flag Adaptive Modelling via Pattern Analysis and the Kernel Methods approach
as author at  Spring School in Complexity Science, Southampton 2006,
274 views
tutorial
flag Statistical Aspects of Pattern Analysis
as author at  The Analysis of Patterns, Erice 2005,
488 views
  lecture
flag Support Vector and Kernel Methods
as author at  Advanced Course on AI (ACAI), Ljubljana 2005,
2506 views
lecture
flag Statistical Learning Theory
as author at  Machine Learning Summer School (MLSS), Berder Island 2004,
16525 views