Pierre Laforgue
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.
News
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) !
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