Suggestions
Nicolas Vayatis
Full Professor at Ecole normale supérieure Paris-Saclay Director of Centre Borelli
Nicolas Vayatis is a prominent figure in the field of mathematics and machine learning. He holds several significant positions:
Academic Roles
- Full Professor at the Department of Mathematics, École normale supérieure Paris-Saclay12
- Director of Centre Borelli3
- ELLIS Fellow (Paris unit)1
Research Focus
Nicolas Vayatis specializes in machine learning, with a particular emphasis on:
- Ranking and scoring methods
- Optimization techniques
- Statistical learning theory
His work has been widely cited in the academic community, with over 5,500 citations recorded on Google Scholar.2
Notable Publications
Some of his most influential papers include:
- "Selective review of offline change point detection methods" (2020)
- "Ranking and Empirical Minimization of U-statistics" (2008)
- "On the Bayes-risk consistency of regularized boosting methods" (2004)
Professional Affiliations
In addition to his academic roles, Nicolas Vayatis serves as a Scientific Advisor at VALGORYTHM.3 This position likely allows him to apply his extensive knowledge of machine learning and optimization to real-world problems in the industry.
Nicolas Vayatis's diverse roles in academia, research, and industry consultancy demonstrate his comprehensive expertise in mathematics and its applications to machine learning and data science.
