Pierre Laforgue

alt text 

Postdoctoral Researcher
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 and bandit algorithms, with applications to federated learning.

I am also currently co-supervising two PhD students:

  • 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)

Prior to this, I obtained my PhD from Télécom Paris, under the supervision of professors Florence d'Alché-Buc and Stephan Clémençon.
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

  • Bandit Algorithms

  • Federated Learning and Privacy Preservation

  • Kernel Methods and Sketching Algorithms

  • Robust Learning and Median-of-Means

  • Statistical Learning and Sample Bias Issues

My list of publications is available here.


  • Jan. 24: our paper on multitask online learning with communication constraints got accepted at AISTATS (joint work with J. Achddou and N. Cesa-Bianchi) !

  • Jan. 24: our paper on sketching methods for structured prediction got accepted at AISTATS (joint work with T. El Ahmad, L. Brogat-Motte and F. d'Alché-Buc) !