Loucas Pillaud-Vivien
Scholar

Loucas Pillaud-Vivien

Google Scholar ID: ioI9xpwAAAAJ
Ecole Nationale Des Ponts
Machine LearningOptimization
Citations & Impact
All-time
Citations
842
 
H-index
14
 
i10-index
14
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Selected Publications: 'On Learning Gaussian Multi-index Models with Gradient Flow' (with A. Bietti, J. Bruna); 'SGD with large step sizes learns sparse features' (with M. Andriushchenko, A.V. Varre, N. Flammarion). For a complete list, visit my Google Scholar page.
Research Experience
  • Was a Courant Instructor/Flatiron fellow at the Courant Institute of NYU and the Flatiron Institute, working mainly with Joan Bruna. Also, a postdoc in the Theory of Machine Learning group of Nicolas Flammarion at EPFL.
Education
  • Ph.D. from the SIERRA Team, under the supervision of Francis Bach and Alessandro Rudi, focusing on stochastic approximation for high-dimensional learning problems.
Background
  • I am an assistant professor at Ecole des Ponts ParisTech and a researcher at CERMICS, in the Applied Probability team. My main research interests are centered around optimization, statistics, and stochastic models.
Miscellany
  • Quoted JeanJass and provided a YouTube link.