Pierre Laforgue

alt text 

Postdoctoral Reseacher
University of Milan

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

About me

I am currently a postdoctoral researcher at the University of Milan, Italy. I work among the LAILA team led by professor Nicolò Cesa-Bianchi.
My recent research interests revolve around multitask online learning with applications to federated learning and privacy preservation.

I am also currently co-supervising two PhD theses:

  • Giulia Clerici, working on nonstationary bandits for music recommendation (co-supervised with N. Cesa-Bianchi)

  • Tamim El Ahmad, working on sketching algorithms to scale-up operator-valued kernel machines (co-supervised with F. 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 (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 revolve around Learning Theory, and include more precisely:

  • Multitask Online Learning

  • Federated Learning and Privacy Preservation

  • Bandit Algorithms

  • Robust Learning and Median-of-Means

  • Kernel Methods and Sketching Algorithms

  • Statistical Learning and Sample Bias Issues

My list of publications is available here.


  • Sep. 23: our paper on multitask online kernel Ridge regression got accepted at NeurIPS (joint work with PG Sessa, N. Cesa-Bianchi and A. Krause) !

  • Sep. 23: our paper on debiasing methods for image databases got accepted at Journal of Nonparametric Statistics (joint work with S. Clémençon and R. Vogel) !

  • Aug. 23: our paper on sparsified sketches for Lipschitz kernel methods got accepted at TMLR (joint work with T. El Ahmad and F. d'Alché-Buc) !