Pierre Laforgue
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Postdoctoral Reseacher |
About me
I am currently a postdoctoral researcher at the Università degli Studi di Milano, Milan, Italy.
I am working with professor Nicolò Cesa-Bianchi on the analysis of online and active learning algorithms among the LAILA team.
I am also co-supervising the PhD thesis of Tamim El Ahmad on scaling-up operator-valued kernel machines with professor Florence d'Alché-Buc.
I hold a PhD in Machine Learning, prepared at Télécom Paris under the supervision of professors Florence d'Alché-Buc and Stephan Clémençon.
My dissertation focuses on Deep Kernel Representation Learning for Complex Data and Reliability Issues, see manuscript, defense slides.
During my PhD, I have been awarded a research grant by the chair Good in Tech to study algorithms in the presence of selection bias.
Previously, I jointly graduated from ENSAE Paris and Master M2 MASH at ENS Cachan and Université Paris-Dauphine.
You can find more about my background on my LinkedIn or in my resume.
Research Interests
My research interests are broadly Machine Learning and Statistical Learning Theory, and include more precisely:
Online Learning and Bandits
Robust Learning and Median-of-Means
Kernel Methods and Vector-Valued RKHSs
Statistical Learning and Sample Bias Issues
My list of publications is available here.
News
Nov. 22: Our paper about Statistical Learning from Biased Training Samples has been published in the Electronic Journal of Statistics ! (with S. Clémençon)
Oct. 22: I'll be talking about Multitask Online Learning at the Learning and Optimization in Luminy (LOL 22) Workshop !
Sep. 22: I'll be talking about Median-of-Means based Machine Learning at the ELLIS@Milan Artificial Intelligence workshop !