Scholar
Gilles Stoltz
Google Scholar ID: w0ZsyyEAAAAJ
CNRS / Université Paris-Saclay / HEC Paris
Citations & Impact
Citations
2,826
H-index
23
i10-index
38
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Articles; Other publications; PhD students
Research Experience
- Senior research scientist, CNRS - Université Paris-Saclay
Background
- Research interests include machine learning and statistics, with a focus on: robust online learning (aggregation of experts, prediction of individual sequences), stochastic online learning (stochastic bandits, reinforcement learning), application to industrial data (currently: electricity consumption, discount rates for credits, dwell time for commuter trains, etc.), information-theoretic lower bounds of performance.
Miscellany
- Contact:
- Gilles (Fortin-)Stoltz
- Office 3I3
- Institut de mathématique (building 307)
- Université Paris-Saclay, 91405 Orsay Cedex
- Phone: +33 1 39 67 72 60
- Email: prenom.nom@universite-paris-saclay.fr
Co-authors