Rodolphe Jenatton (Preferred)
Rodolphe Jenatton
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@amazon.com
, ****@cmap.polytechnique.fr
, ****@google.com
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Senior research scientist
Google (google.com)
2019 – Present
Senior research scientist
Amazon (amazon.com)
2014 – 2019
Research scientist
Criteo (criteo.fr)
2013 – 2014
Research scientist
Criteo (criteo.com)
2013 – 2014
Postdoc
Ecole polytechnique (polytechnique.edu)
2012 – 2013
Postdoc
Ecole Polytechnique (ens.fr)
2011 – 2013
PhD student
INRIA (inria.fr)
2008 – 2012
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Remi Gribonval
****@inria.fr
2012 – 2015
Coauthor
Francis Bach
****@ens.fr
2011 – 2014
Coauthor
Guillaume Obozinski
****@imagine.enpc.fr
2011 – 2014
Coauthor
Julien Mairal
****@m4x.org
2011 – 2014
Coauthor
Martin Kleinsteuber
****@in.tum.de
2011 – 2014
Coauthor
Martin Kleinsteuber
****@tum.de
2011 – 2014
Coauthor
Francis Bach
****@inria.fr
2011 – 2014
Coauthor
Julien Mairal
****@inria.fr
2011 – 2014
Coauthor
Alexandre Gramfort
****@inria.fr
2011 – 2012
Coauthor
Bertrand Thirion
****@inria.fr
2011 – 2012
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
uncertainty modelling in deep learning
2019 – Present
Bayesian optimization
2014 – Present
online learning, bayesian optimization
2014 – 2017
sparsity modeling, dictionary learning, convex optimization, statistical learning theory
2008 – 2014
sparsity
2008 – 2012
convex optimization
2008 – 2012