Pierre Laforgue

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Postdoctoral Reseacher
Università degli Studi di Milano

Email: pierre [dot] laforgue [at] unimi.it
Others: Google Scholar, GitHub, LinkedIn

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.