Science and business are becoming increasingly driven by large amounts of data. This creates new practical and theoretical challenges, at the interface between statistics and computer science. The goal of the workshop is to bring together world-leaders in all aspects of large-scale inference, including computer scientists, statisticians and mathematicians, and explore the challenges and opportunities offered by Big data analysis.The workshop will be held on May 14-15, 2013, at the Institut Henri Poincaré, located downtown Paris (http://www.ihp.fr/), is organized by Francis Bach and Michael Jordan, and is funded by the Fondation de Sciences Mathematiques de Paris and INRIA.Invited speakers:
- Alexandre d'Aspremont, CNRS - Ecole Polytechnique
- Francis Bach, INRIA - ENS
- Leon Bottou, Microsoft Research
- Alfred Hero, University of Michigan
- Chris Holmes, Oxford University
- Michael Jordan, U.C. Berkeley
- Lester Mackey, Stanford University
- Michael Mahoney, Stanford University
- Eric Moulines, Telecom Paristech
- Sonia Petrone, Università Bocconi
- Slav Petrov, Google
- Ion Stoica, U.C. Berkeley
- Martin Wainwright, U.C. Berkeley
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Tuesday, April 30, 2013
Big data: theoretical and practical challenges May 14-15, 2013, Paris
Francis Bach just let me know of this upcoming meeting on Big data: theoretical and practical challenges on May 14-15, 2013 in Paris. From the meeting's page:
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