Tamim El Ahmad
 |
PhD Student |
About me
Since January 2021, I am a PhD student at Télécom Paris under the supervision of Florence d'Alché-Buc and Pierre Laforgue.
My work focuses on leveraging random projections to tackle scalability to large datasets of kernel methods, for either scalar regression, vector-valued regression, and even structured prediction.
Previously, I jointly graduated from Mines Saint-Etienne and Master M2 MVA at ENS Paris-Saclay.
You can find more about my background in my resume.
Research Interests
I'm globally interested in Machine Learning, and for the moment focus my attention on
Kernel Methods and Sketching Algorithms
Structured Prediction
Statistical Learning Theory
My list of publications is available here.
-sparsified sketches for kernel methods has been accepted at