Cosme Louart
Scholar

Cosme Louart

Google Scholar ID: Yq5vG04AAAAJ
Assistant Professor, Chinese University of Hong Kong, Shenzhen
Random matricesConcentration of the measureMachine learning
Citations & Impact
All-time
Citations
417
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: [operations and concentration] [MP non iid - in preparation] [Softmax]; Other Academic Activities: Published an internship offer for students with a strong background in maths and interested in Machine Learning applications.
Research Experience
  • Work Experience: Former data scientist at EDF Beijing; Research Projects: Led a project on modeling static physical systems like chillers or heating networks with transformers; Position: Assistant Professor; Supervised Student: Recruited a PhD student, Wenrang Zhang, who has been working on the project since September 2023.
Education
  • Insufficient information provided.
Background
  • Research Interests: Theory of Random Matrices, Performance Prediction of Machine Learning Algorithms, High-Dimensional Data Analysis; Professional Field: Data Science; Brief Introduction: Currently an Assistant Professor at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), focusing on using the theory of random matrices to predict the performance of machine learning algorithms such as ridge regression, robust regression, kernel methods, etc.
Miscellany
  • Personal interests and hobbies not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)